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CN104299600A - Image display device and image optimization method thereof - Google Patents

  • ️Wed Jan 21 2015

CN104299600A - Image display device and image optimization method thereof - Google Patents

Image display device and image optimization method thereof Download PDF

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CN104299600A
CN104299600A CN201310303468.3A CN201310303468A CN104299600A CN 104299600 A CN104299600 A CN 104299600A CN 201310303468 A CN201310303468 A CN 201310303468A CN 104299600 A CN104299600 A CN 104299600A Authority
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image data
brightness
image
weight
value
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2013-07-18
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CN104299600B (en
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杨智源
庄侑兴
白凤霆
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Novatek Microelectronics Corp
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Novatek Microelectronics Corp
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2013-07-18
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2015-01-21 Publication of CN104299600A publication Critical patent/CN104299600A/en
2016-12-07 Application granted granted Critical
2016-12-07 Publication of CN104299600B publication Critical patent/CN104299600B/en
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  • 102100034058 Gypsy retrotransposon integrase-like protein 1 Human genes 0.000 description 4
  • 101000926251 Homo sapiens Gypsy retrotransposon integrase-like protein 1 Proteins 0.000 description 4
  • 101000970561 Homo sapiens Myc box-dependent-interacting protein 1 Proteins 0.000 description 4
  • 101000708215 Homo sapiens Ras and Rab interactor 1 Proteins 0.000 description 4
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Abstract

An image display device and an image optimization method thereof. The image display apparatus includes an image content analyzer, a brightness compensator, and an image optimization processor. The image content analyzer receives the image data and the ambient light brightness, and generates a backlight brightness adjustment value according to the image data and the ambient light brightness. The brightness compensator generates an image data brightness adjustment value according to the backlight brightness adjustment value, and adjusts the brightness of the image data according to the image data brightness adjustment value to generate first image data. The image optimization processor generates a saturation adjustment weight according to the brightness adjustment value of the image data. The image optimization processor adjusts the brightness of the first image data according to the saturation adjustment weight to generate output image data.

Description

图像显示装置及其图像优化方法Image display device and image optimization method thereof

技术领域technical field

本发明涉及一种图像显示装置,且特别涉及一种可进行图像优化的图像显示装置。The invention relates to an image display device, and in particular to an image display device capable of image optimization.

背景技术Background technique

随着电子产品日益普及化,在电子装置上提供优质化的显示装置成为设计者的重要课题。为配合电子装置移动化的需求,使用者需要不论在任何环境下,都可以提供优质显示的电子装置。With the increasing popularity of electronic products, providing high-quality display devices on electronic devices has become an important issue for designers. In order to meet the demands of the mobility of electronic devices, users need electronic devices that can provide high-quality display in any environment.

在已知的技术领域中,显示装置可以依据所处环境的环境亮度来调整背光模块所产生的亮度。然而,在较明亮的户外环境中,为了抵抗强光的反射效果,背光模块所产生的亮度往往会被调到最大的亮度,造成电力消耗的浪费。此外,为了有效解省消耗功率,已知技术的显示装置可通过调高显示图像的亮度的方式,来使背光模块所产生的亮度可以适度地调降。In the known technical field, the display device can adjust the brightness generated by the backlight module according to the ambient brightness of the environment. However, in a relatively bright outdoor environment, in order to resist the reflection effect of strong light, the brightness generated by the backlight module is often adjusted to the maximum brightness, resulting in waste of power consumption. In addition, in order to effectively save power consumption, the display device in the prior art can moderately reduce the brightness generated by the backlight module by increasing the brightness of the displayed image.

然而,单纯的调高显示图像的亮度,会使得显示图像的质量产生例如噪声变大及色彩失真的劣质化的现象,影响到显示装置所呈现的视觉效果。因此,如何兼顾显示质量以及电力消耗,为本领域设计者所重视的问题。However, simply increasing the brightness of the displayed image will cause the quality of the displayed image to deteriorate, such as increased noise and color distortion, which will affect the visual effect presented by the display device. Therefore, how to balance display quality and power consumption is a problem that designers in the field pay attention to.

发明内容Contents of the invention

本发明提供一种图像显示装置,可对亮度调整后的图像数据进行图像优化动作,藉以提升显示质量。The present invention provides an image display device, which can perform an image optimization operation on image data after brightness adjustment, so as to improve display quality.

本发明还提供一种适用于图像显示装置的图像优化方法,可对亮度调整后的图像数据进行图像优化动作,藉以提升显示质量。The present invention also provides an image optimization method suitable for an image display device, which can perform image optimization actions on image data after brightness adjustment, so as to improve display quality.

本发明的图像显示装置包括图像内容分析器、亮度补偿器以及图像优化处理器。图像内容分析器接收图像数据以及环境光亮度,并依据图像数据以及环境光亮度产生背光亮度调整值。亮度补偿器耦接图像内容分析器,并依据背光亮度调整值来产生图像数据亮度调整值,且依据图像数据亮度调整值来调整图像数据的亮度以产生第一图像数据。图像优化处理器耦接亮度补偿器,依据图像数据亮度调整值来产生饱和度调整权重。图像优化处理器并依据饱和度调整权重来调整第一图像数据的亮度以产生输出图像数据。The image display device of the present invention includes an image content analyzer, a brightness compensator and an image optimization processor. The image content analyzer receives image data and ambient light brightness, and generates a backlight brightness adjustment value according to the image data and ambient light brightness. The brightness compensator is coupled to the image content analyzer, and generates image data brightness adjustment values according to the backlight brightness adjustment value, and adjusts brightness of the image data according to the image data brightness adjustment value to generate first image data. The image optimization processor is coupled to the brightness compensator, and generates saturation adjustment weights according to the brightness adjustment value of the image data. The image optimization processor adjusts the brightness of the first image data according to the saturation adjustment weight to generate output image data.

在本发明的一实施例中,上述的图像优化处理器还计算输出图像数据与第一图像数据间的亮度增幅,且计算输出图像数据的细节变异度。图像优化处理器且依据亮度增幅以及细节变异度来调整输出图像数据以产生调整后输出图像数据。In an embodiment of the present invention, the above-mentioned image optimization processor further calculates the brightness increase between the output image data and the first image data, and calculates the detail variation of the output image data. The image optimization processor adjusts the output image data according to the brightness increase and the detail variation to generate the adjusted output image data.

在本发明的一实施例中,上述的图像优化处理器计算输出图像数据与第一图像数据的亮度差来获得亮度增幅。In an embodiment of the present invention, the above-mentioned image optimization processor calculates a brightness difference between the output image data and the first image data to obtain a brightness increase.

在本发明的一实施例中,上述的输出图像数据包括多个像素数据。图像优化处理器计算各像素数据与各像素数据邻近的多个邻近像素数据的亮度值的差来获得细节变异度。In an embodiment of the present invention, the above-mentioned output image data includes a plurality of pixel data. The image optimization processor calculates the difference between the brightness values of each pixel data and a plurality of adjacent pixel data adjacent to each pixel data to obtain detail variation.

在本发明的一实施例中,上述的图像优化处理器依据亮度增幅以及亮度增幅权重函数来获得亮度修正权重值。图像优化处理器并依据细节变异度以及细节变异权重函数来获得细节变异修正权重值。In an embodiment of the present invention, the above-mentioned image optimization processor obtains the brightness correction weight value according to the brightness increase and the brightness increase weight function. The image optimization processor obtains the detail variation correction weight value according to the detail variation degree and the detail variation weight function.

在本发明的一实施例中,上述的图像优化处理器依据亮度修正权重值以及细节变异修正权重值的和来获得细节修正权重。图像优化处理器并依据细节修正权重来调整输出图像数据以产生调整后输出图像数据。In an embodiment of the present invention, the above-mentioned image optimization processor obtains the detail correction weight according to the sum of the brightness correction weight value and the detail variation correction weight value. The image optimization processor adjusts the output image data according to the detail correction weight to generate the adjusted output image data.

在本发明的一实施例中,上述的图像优化处理器依据饱和度调整权重函数及图像数据亮度调整值来产生饱和度调整权重。其中,饱和度调整权重与图像数据亮度调整值成反比。In an embodiment of the present invention, the above-mentioned image optimization processor generates the saturation adjustment weight according to the saturation adjustment weight function and the brightness adjustment value of the image data. Wherein, the saturation adjustment weight is inversely proportional to the brightness adjustment value of the image data.

本发明的种图像优化方法适用于图像显示装置。其中的步骤包括:接收图像数据以及环境光亮度,并依据图像数据以及环境光亮度产生背光亮度调整值;再依据背光亮度调整值来产生图像数据亮度调整值,并依据图像数据亮度调整值来调整图像数据的亮度以产生第一图像数据;并且,依据图像数据亮度调整值来产生饱和度调整权重,并依据饱和度调整权重来调整第一图像数据的亮度以产生输出图像数据。The image optimization method of the present invention is applicable to image display devices. The steps include: receiving image data and ambient light brightness, and generating a backlight brightness adjustment value according to the image data and ambient light brightness; generating an image data brightness adjustment value according to the backlight brightness adjustment value, and adjusting according to the image data brightness adjustment value The brightness of the image data is used to generate the first image data; and the saturation adjustment weight is generated according to the brightness adjustment value of the image data, and the brightness of the first image data is adjusted according to the saturation adjustment weight to generate the output image data.

基于上述,本发明的图像显示装置进一步针对依据背光亮度的调整来调整图像数据的亮度,并增对调整后的图像数据进行饱和度的调整动作,以进一步优化所要显示的图像,提升图像显示装置的显示效能。Based on the above, the image display device of the present invention further adjusts the brightness of the image data according to the adjustment of the brightness of the backlight, and adds an action of adjusting the saturation of the adjusted image data to further optimize the image to be displayed and improve the image display device. display performance.

为让本发明的上述特征和优点能更明显易懂,下文特举实施例,并配合附图作详细说明如下。In order to make the above-mentioned features and advantages of the present invention more comprehensible, the following specific embodiments are described in detail with reference to the accompanying drawings.

附图说明Description of drawings

图1绘示本发明一实施例的图像显示装置100的示意图。FIG. 1 is a schematic diagram of an image display device 100 according to an embodiment of the present invention.

图2绘示本发明实施例的饱和度调整权重函数的曲线图。FIG. 2 is a graph illustrating a saturation adjustment weight function according to an embodiment of the present invention.

图3绘示本发明实施例的亮度增幅权重函数的示意图。FIG. 3 is a schematic diagram of a brightness increasing weight function according to an embodiment of the present invention.

图4则绘示本发明实施例的细节变异权重函数的示意图。FIG. 4 is a schematic diagram of a detailed variation weight function according to an embodiment of the present invention.

图5绘示本发明实施例的图像优化方法的流程图。FIG. 5 is a flowchart of an image optimization method according to an embodiment of the present invention.

【符号说明】【Symbol Description】

100:图像显示装置100: image display device

110:图像内容分析器110: Image Content Analyzer

120:亮度补偿器120: Brightness Compensator

130:图像优化处理器130: Image optimization processor

ENL:环境光亮度ENL: ambient light level

BLT:背光亮度调整值BLT: Backlight brightness adjustment value

IMG1:第一图像数据IMG1: first image data

IMGD:图像数据IMGD: image data

IMGO:输出图像数据IMGO: output image data

dY:亮度调整值dY: brightness adjustment value

210~230、310、410:曲线210~230, 310, 410: curve

S510~S530:图像优化步骤S510~S530: image optimization steps

具体实施方式Detailed ways

请参照图1,图1绘示本发明一实施例的图像显示装置100的示意图。图像显示装置100包括图像内容分析器110、亮度补偿器120以及图像优化处理器130。图像内容分析器110接收图像数据IMGD以及环境光亮度ENL。图像内容分析器110依据图像数据IMGD以及环境光亮度ENL产生背光亮度调整值BLT。Please refer to FIG. 1 , which is a schematic diagram of an image display device 100 according to an embodiment of the present invention. The image display device 100 includes an image content analyzer 110 , a brightness compensator 120 and an image optimization processor 130 . The image content analyzer 110 receives the image data IMGD and the ambient light level ENL. The image content analyzer 110 generates a backlight brightness adjustment value BLT according to the image data IMGD and the ambient light brightness ENL.

背光亮度调整值BLT被传送至与图像内容分析器110相耦接的亮度补偿器120。亮度补偿器120依据背光亮度调整值BLT来产生图像数据亮度调整值以及图像数据亮度调整比例。亮度补偿器120并依据图像数据亮度调整值以及图像数据亮度调整比例来调整图像数据IMGD的亮度以产生第一图像数据IMG1。举例来说明,以图像数据IMGD包括第一色光图像数据RIN、第二色光图像数据GIN以及第三色光图像数据BIN为例,亮度补偿器120并依据背光亮度调整值BLT来产生图像数据亮度调整值dY以及图像数据亮度调整比例RATIO,并据以产生包括第一色光图像数据RIN1、第二色光图像数据GIN1以及第三色光图像数据BIN1的第一图像数据IMG1。其中,第一色光图像数据RIN1、第二色光图像数据GIN1以及第三色光图像数据BIN1的计算方式如下式(1)所示:The backlight brightness adjustment value BLT is sent to the brightness compensator 120 coupled to the image content analyzer 110 . The brightness compensator 120 generates an image data brightness adjustment value and an image data brightness adjustment ratio according to the backlight brightness adjustment value BLT. The brightness compensator 120 adjusts the brightness of the image data IMGD according to the image data brightness adjustment value and the image data brightness adjustment ratio to generate the first image data IMG1. For example, taking the image data IMGD including the first color image data RIN, the second color image data GIN and the third color image data BIN as an example, the brightness compensator 120 generates image data brightness adjustment according to the backlight brightness adjustment value BLT. The value dY and the brightness adjustment ratio RATIO of the image data are used to generate the first image data IMG1 including the first color image data RIN1 , the second color image data GIN1 and the third color image data BIN1 . Wherein, the calculation method of the first color light image data RIN1, the second color light image data GIN1 and the third color light image data BIN1 is shown in the following formula (1):

RIN1=RATIO×RIN1+dYRIN1=RATIO×RIN1+dY

GIN1=RATIO×GIN1+dYGIN1=RATIO×GIN1+dY

BIN1=RATIO×BIN1+dY    (1)BIN1=RATIO×BIN1+dY (1)

以背光亮度调整值BLT用来调低图像显示装置100的背光亮度为例,图像数据亮度调整比例RATIO可以是一个大于1的值并用以调高图像数据IMGD的亮度以产生第一图像数据IMG1。而图像数据亮度调整值dY则可用来决定是否调整图像数据IMGD的饱和度。其中,当图像数据亮度调整值dY大于0时,表示图像数据IMGD的饱和度会被调低;当图像数据亮度调整值dY小于0时,表示图像数据IMGD的饱和度会被调高;而当图像数据亮度调整值dY等于0时,表示图像数据IMGD的饱和度不会被调整。Taking the backlight brightness adjustment value BLT as an example to reduce the backlight brightness of the image display device 100 , the image data brightness adjustment ratio RATIO may be a value greater than 1 and used to increase the brightness of the image data IMGD to generate the first image data IMG1 . The image data brightness adjustment value dY can be used to determine whether to adjust the saturation of the image data IMGD. Wherein, when the image data brightness adjustment value dY is greater than 0, it means that the saturation of the image data IMGD will be lowered; when the image data brightness adjustment value dY is less than 0, it means that the saturation of the image data IMGD will be increased; and when When the image data brightness adjustment value dY is equal to 0, it means that the saturation of the image data IMGD will not be adjusted.

图像优化处理器130耦接亮度补偿器120。图像优化处理器130依据图像数据亮度调整值dY来产生饱和度调整权重。图像优化处理器130并依据所计算出的饱和度调整权重来调整第一图像数据IMG1的亮度以产生输出图像数据IMGO。其中,饱和度调整权重W_sat可以由下列的式(2)来计算获得:The image optimization processor 130 is coupled to the brightness compensator 120 . The image optimization processor 130 generates a saturation adjustment weight according to the brightness adjustment value dY of the image data. The image optimization processor 130 adjusts the brightness of the first image data IMG1 according to the calculated saturation adjustment weight to generate the output image data IMGO. Wherein, the saturation adjustment weight W_sat can be calculated by the following formula (2):

其中Max表示取其对应的括号中数值的最大值的运算,Min取其对应的括号中数值的最小值的运算。Among them, Max represents the operation of taking the maximum value of the value in the corresponding brackets, and Min is the operation of taking the minimum value of the value in the corresponding brackets.

以下请同时参照图1以及图2,其中,图2绘示本发明实施例的饱和度调整权重函数的曲线图。上述的饱和度调整权重W_sat可以由图2绘示的饱和度调整权重函数来获得。在图2中,曲线210表示数据亮度调整值dY大于0时的图像亮度与饱和度调整权重W_sat的关系曲线;曲线220表示数据亮度调整值dY等于0时的图像亮度与饱和度调整权重W_sat的关系曲线;而曲线230则表示数据亮度调整值dY小于0时的图像亮度与饱和度调整权重W_sat的关系曲线。曲线210~230都会随着图像亮度往饱和度调整权重W_sat等于1的位置收敛。也就是说,当饱和度调整权重W_sat大于1时,会增强图像数据IMGD的饱和度,当饱和度调整权重W_sat等于1时,图像数据IMGD的饱和度保持不变;当饱和度调整权重W_sat小于1时,会降低图像数据IMGD的饱和度。饱和度调整权重W_sat与图像数据IMGD亮度调整值成反比。Please refer to FIG. 1 and FIG. 2 , wherein FIG. 2 shows a graph of a saturation adjustment weight function according to an embodiment of the present invention. The aforementioned saturation adjustment weight W_sat can be obtained by the saturation adjustment weight function shown in FIG. 2 . In FIG. 2, the curve 210 represents the relationship curve between the image brightness and the saturation adjustment weight W_sat when the data brightness adjustment value dY is greater than 0; the curve 220 represents the relationship between the image brightness and the saturation adjustment weight W_sat when the data brightness adjustment value dY is equal to 0 The relationship curve; and the curve 230 represents the relationship curve between the image brightness and the saturation adjustment weight W_sat when the data brightness adjustment value dY is less than 0. The curves 210 - 230 all converge toward the position where the saturation adjustment weight W_sat is equal to 1 along with the brightness of the image. That is to say, when the saturation adjustment weight W_sat is greater than 1, the saturation of the image data IMGD will be enhanced; when the saturation adjustment weight W_sat is equal to 1, the saturation of the image data IMGD remains unchanged; when the saturation adjustment weight W_sat is less than When 1, the saturation of the image data IMGD will be reduced. The saturation adjustment weight W_sat is inversely proportional to the brightness adjustment value of the image data IMGD.

图像优化处理器130可以依据式(2)以算术运算的方式来计算出饱和度调整权重W_sat。当然,图2中的曲线210~230中关于饱和度调整权重W_sat与亮度的关系也可以被纪录在一个或多个查找表中。图像优化处理器130也可以通过这个查找表来查找出饱和度调整权重W_sat。The image optimization processor 130 may calculate the saturation adjustment weight W_sat by means of arithmetic operations according to formula (2). Of course, the relationship between the saturation adjustment weight W_sat and the brightness in the curves 210-230 in FIG. 2 can also be recorded in one or more look-up tables. The image optimization processor 130 can also find out the saturation adjustment weight W_sat through this lookup table.

在另一方面,依据饱和度调整权重W_sat来计算出图像数据IMGO的方式可以由下述输出图像数据IMGO与饱和度调整权重W_sat的关系式(3)来完成:On the other hand, the method of calculating the image data IMGO according to the saturation adjustment weight W_sat can be completed by the following relational expression (3) between the output image data IMGO and the saturation adjustment weight W_sat:

RORO == WW __ satsat ** RINRIN 11 ++ 11 22 ** (( 11 -- WW __ satsat )) ** (( GINGIN 11 ++ BINBIN 11 ))

GOgo == WW __ satsat ** GINGIN 11 ++ 11 22 ** (( 11 -- WW __ satsat )) ** (( RINRIN 11 ++ BINBIN 11 ))

BOBO == WW __ satsat ** BINBIN 11 ++ 11 22 ** (( 11 -- WW __ satsat )) ** (( GINGIN 11 ++ RINRIN 11 )) -- -- -- (( 33 ))

其中,RO、GO及BO为输出图像数据IMGO所包括的三个色光的图像数据。当然,图像优化处理器130可以直接进行式(3)的算术运算来获得输出图像数据IMGO,图像优化处理器130或也可以依据式(3)来建立记录输出图像数据IMGO、第一图像数据IMG1以及饱和度调整权重W_sat的查找表,并依据所建立的查找表来依据饱和度调整权重W_sat以产生输出图像数据IMGO。Wherein, RO, GO and BO are the image data of the three colors included in the output image data IMGO. Of course, the image optimization processor 130 can directly perform the arithmetic operation of the formula (3) to obtain the output image data IMGO, or the image optimization processor 130 can also create and record the output image data IMGO and the first image data IMG1 according to the formula (3). and a lookup table of the saturation adjustment weight W_sat, and adjust the weight W_sat according to the saturation according to the established lookup table to generate output image data IMGO.

在另一方面,图像优化处理器130可以针对输出图像数据IMGO进行更进一步的调整动作。其中,图像优化处理器130还计算输出图像数据IMGO与第一图像数据IMG1间的亮度增幅dY2,并且,图像优化处理器130也计算输出图像数据IMGO的细节变异度。图像优化处理器130再依据亮度增幅dY2以及细节变异度来产生调整后输出图像数据。On the other hand, the image optimization processor 130 may perform further adjustment actions on the output image data IMGO. Wherein, the image optimization processor 130 also calculates the brightness increment dY2 between the output image data IMGO and the first image data IMG1, and the image optimization processor 130 also calculates the detail variation of the output image data IMGO. The image optimization processor 130 then generates the adjusted output image data according to the brightness increase dY2 and the detail variation.

值得注意的是,亮度增幅dY2可以通过图像优化处理器130计算输出图像数据IMGO与第一图像数据IMG1的亮度差来获得。而细节变异度则可以由图像优化处理器130针对输出图像数据IMGO所包括的多个像素数据计算进行计算来获得。其中,图像优化处理器130可以计算各该像素数据与各该像素数据邻近的邻近像素数据的亮度值的差来获得细节变异度。It should be noted that the brightness increase dY2 can be obtained by calculating the brightness difference between the output image data IMGO and the first image data IMG1 by the image optimization processor 130 . The degree of detail variation can be obtained by calculating the image optimization processor 130 for a plurality of pixel data included in the output image data IMGO. Wherein, the image optimization processor 130 may calculate the difference between the brightness values of each pixel data and adjacent pixel data adjacent to each pixel data to obtain detail variation.

以下请同时参照图1、图3及图4,其中图3绘示本发明实施例的亮度增幅权重函数的示意图,图4则绘示本发明实施例的细节变异权重函数的示意图。图3绘示的曲线310表示本发明实施例的亮度增幅权重函数所呈现的亮度增幅与亮度增幅权重的关系曲线,其中,曲线310所显示的亮度增幅与亮度增幅权重是成反比的。图像优化处理器130可以通过曲线310来依据所计算出的亮度增幅dY2来计算出亮度增幅权重。在图4的绘示中,曲线410则表示本发明实施例的细节变异权重函数所呈现的细节变异度与细节变异权重的关系曲线,其中,曲线410所显示的细节变异度与细节变异权重是成正比,且当细节变异度过大时,细节变异权重会趋近于一个稳定值。Please refer to FIG. 1 , FIG. 3 and FIG. 4 , wherein FIG. 3 is a schematic diagram of a brightness increase weight function according to an embodiment of the present invention, and FIG. 4 is a schematic diagram of a detail variation weight function according to an embodiment of the present invention. The curve 310 shown in FIG. 3 represents the relation curve between the brightness increase and the brightness increase weight presented by the brightness increase weight function of the embodiment of the present invention, wherein the brightness increase and the brightness increase weight displayed by the curve 310 are inversely proportional. The image optimization processor 130 can calculate the brightness increase weight according to the calculated brightness increase dY2 through the curve 310 . In the illustration of FIG. 4 , the curve 410 represents the relationship curve between the degree of detail variation and the weight of detail variation presented by the detail variation weight function of the embodiment of the present invention, wherein the degree of detail variation and the weight of detail variation shown in the curve 410 are is proportional to , and when the detail variation is too large, the detail variation weight will tend to a stable value.

此外,图像优化处理器130会将所获得的细节变异权重以及亮度增幅权重进行相加以产生细节修正权重,并通过细节修正权重来对输出图像数据IMGO进行调整以产生调整输出图像数据IMGTO。In addition, the image optimization processor 130 adds the obtained detail variation weights and brightness enhancement weights to generate detail correction weights, and adjusts the output image data IMGO through the detail correction weights to generate adjusted output image data IMGTO.

图像优化处理器130可依据式(4)进行调整输出图像数据IMGTO的产生,式(4)如下所示:The image optimization processor 130 can adjust the generation of the output image data IMGTO according to the formula (4), and the formula (4) is as follows:

RTO=RO+dY2×EDWRTO=RO+dY2×EDW

GTO=GO+dY2×EDWGTO=GO+dY2×EDW

BTO=BO+dY2×EDW    (4)BTO=BO+dY2×EDW (4)

其中,RTO、GTO及BTO为输出图像数据IMGTO所包括的三个色光的图像数据,EDW则为细节修正权重。Wherein, RTO, GTO and BTO are the image data of the three color lights included in the output image data IMGTO, and EDW is the detail correction weight.

以下请参照图5,图5绘示本发明实施例的图像优化方法的流程图。图像优化方法的步骤包括:在步骤S510中,接收图像数据以及环境光亮度,并依据图像数据以及环境光亮度产生背光亮度调整值;接着,在步骤S520中,依据背光亮度调整值来产生图像数据亮度调整值,并依据图像数据亮度调整值来调整图像数据的亮度以产生第一图像数据;最后,在步骤S530中,依据图像数据亮度调整值来产生饱和度调整权重,并依据饱和度调整权重来调整第一图像数据的亮度以产生输出图像数据。Please refer to FIG. 5 below. FIG. 5 is a flow chart of an image optimization method according to an embodiment of the present invention. The steps of the image optimization method include: in step S510, receiving image data and ambient light brightness, and generating a backlight brightness adjustment value according to the image data and ambient light brightness; then, in step S520, generating image data according to the backlight brightness adjustment value brightness adjustment value, and adjust the brightness of the image data according to the brightness adjustment value of the image data to generate the first image data; finally, in step S530, generate a saturation adjustment weight according to the brightness adjustment value of the image data, and adjust the weight according to the saturation to adjust the brightness of the first image data to generate output image data.

关于本实施例的动作细节的部分,在前述的实施例及实施方式都有详细的说明,以下恕不赘述。The details of the operation of this embodiment have been described in detail in the foregoing embodiments and implementations, and will not be described in detail below.

综上所述,本发明不仅针对背光亮度调整值进行图像数据的亮度调整外,还会兼顾到图像的饱和度来进行图像数据的调整。如此一来,显示装置除了会针对背光模块的亮度进行控管以节省电能外,还兼顾到图像显示的质量,有效达到节省且影响优化的功效。To sum up, the present invention not only adjusts the brightness of the image data according to the brightness adjustment value of the backlight, but also adjusts the image data taking into account the saturation of the image. In this way, in addition to controlling the brightness of the backlight module to save power, the display device also takes into account the quality of image display, effectively achieving the effect of saving and affecting optimization.

Claims (13)

1.一种图像显示装置,包括:1. An image display device, comprising: 一图像内容分析器,接收一图像数据以及一环境光亮度,依据该图像数据以及该环境光亮度产生一背光亮度调整值;An image content analyzer, receiving an image data and an ambient light brightness, and generating a backlight brightness adjustment value according to the image data and the ambient light brightness; 一亮度补偿器,耦接该图像内容分析器,依据该背光亮度调整值来产生一图像数据亮度调整值以及一图像数据亮度调整比例,并依据该图像数据亮度调整值及该图像数据亮度调整比例来调整该图像数据的亮度以产生一第一图像数据;以及A brightness compensator, coupled to the image content analyzer, generates an image data brightness adjustment value and an image data brightness adjustment ratio according to the backlight brightness adjustment value, and generates an image data brightness adjustment ratio based on the image data brightness adjustment value and the image data brightness adjustment ratio to adjust the brightness of the image data to generate a first image data; and 一图像优化处理器,耦接该亮度补偿器,依据该图像数据亮度调整值来产生一饱和度调整权重,该图像优化处理器并依据该饱和度调整权重来调整该第一图像数据的亮度以产生一输出图像数据。An image optimization processor, coupled to the brightness compensator, generates a saturation adjustment weight according to the brightness adjustment value of the image data, and the image optimization processor adjusts the brightness of the first image data according to the saturation adjustment weight to An output image data is generated. 2.如权利要求1所述的图像显示装置,其中该图像优化处理器还计算该输出图像数据与该第一图像数据间的一亮度增幅,且计算该输出图像数据的一细节变异度,该图像优化处理器且依据该亮度增幅以及该细节变异度来调整该输出图像数据以产生一调整后输出图像数据。2. The image display device according to claim 1, wherein the image optimization processor further calculates a brightness increase between the output image data and the first image data, and calculates a detail variation of the output image data, the The image optimization processor adjusts the output image data according to the brightness increase and the detail variation to generate an adjusted output image data. 3.如权利要求2所述的图像显示装置,其中该图像优化处理器计算该输出图像数据与该第一图像数据的亮度差来获得该亮度增幅。3. The image display device as claimed in claim 2, wherein the image optimization processor calculates a brightness difference between the output image data and the first image data to obtain the brightness increase. 4.如权利要求2所述的图像显示装置,其中该输出图像数据包括多个像素数据,该图像优化处理器计算各该像素数据与各该像素数据邻近的多个邻近像素数据的亮度值的差来获得该细节变异度。4. The image display device according to claim 2, wherein the output image data includes a plurality of pixel data, and the image optimization processor calculates the brightness value of each of the pixel data and a plurality of adjacent pixel data adjacent to each of the pixel data. difference to obtain this detail variability. 5.如权利要求2所述的图像显示装置,其中该图像优化处理器依据该亮度增幅以及一亮度增幅权重函数来获得一亮度修正权重值,该图像优化处理器并依据该细节变异度以及一细节变异权重函数来获得一细节变异修正权重值。5. The image display device as claimed in claim 2, wherein the image optimization processor obtains a brightness correction weight value according to the brightness increase and a brightness increase weight function, and the image optimization processor obtains a brightness correction weight value according to the detail variation and a The detail variation weight function is used to obtain a detail variation correction weight value. 6.如权利要求5所述的图像显示装置,其中该图像优化处理器依据该亮度修正权重值以及该细节变异修正权重值的和来获得一细节修正权重,该图像优化处理器并依据该细节修正权重来调整该输出图像数据以产生该调整后输出图像数据。6. The image display device as claimed in claim 5, wherein the image optimization processor obtains a detail correction weight according to the sum of the brightness correction weight value and the detail variation correction weight value, and the image optimization processor obtains a detail correction weight according to the detail Modifying weights to adjust the output image data to generate the adjusted output image data. 7.如权利要求1所述的图像显示装置,其中该图像优化处理器依据一饱和度调整权重函数及该图像数据亮度调整值来产生该饱和度调整权重,其中,该饱和度调整权重与该图像数据亮度调整值成反比。7. The image display device as claimed in claim 1, wherein the image optimization processor generates the saturation adjustment weight according to a saturation adjustment weight function and the brightness adjustment value of the image data, wherein the saturation adjustment weight is related to the saturation adjustment weight Image data brightness adjustment values are inversely proportional. 8.一种图像优化方法,适用于图像显示装置,包括:8. An image optimization method, suitable for an image display device, comprising: 接收一图像数据以及一环境光亮度,依据该图像数据以及该环境光亮度产生一背光亮度调整值;receiving an image data and an ambient light brightness, and generating a backlight brightness adjustment value according to the image data and the ambient light brightness; 依据该背光亮度调整值来产生一图像数据亮度调整值,并依据该图像数据亮度调整值来调整该图像数据的亮度以产生一第一图像数据;以及generating an image data brightness adjustment value according to the backlight brightness adjustment value, and adjusting the brightness of the image data according to the image data brightness adjustment value to generate a first image data; and 依据该图像数据亮度调整值来产生一饱和度调整权重,并依据该饱和度调整权重来调整该第一图像数据的亮度以产生一输出图像数据。A saturation adjustment weight is generated according to the brightness adjustment value of the image data, and brightness of the first image data is adjusted according to the saturation adjustment weight to generate an output image data. 9.如权利要求8所述的图像优化方法,其中还包括:9. The image optimization method as claimed in claim 8, further comprising: 计算该输出图像数据与该图像数据间的一亮度增幅;calculating a brightness increase between the output image data and the image data; 计算该输出图像数据的一细节变异度;以及calculating a detail variability of the output image data; and 依据该亮度增幅以及该细节变异度来调整该输出图像数据以产生一调整后输出图像数据。The output image data is adjusted according to the brightness increase and the detail variation to generate an adjusted output image data. 10.如权利要求9所述的图像优化方法,其中还包括:10. The image optimization method as claimed in claim 9, further comprising: 计算该输出图像数据与该图像数据的亮度差来获得该亮度增幅。calculating the brightness difference between the output image data and the image data to obtain the brightness increase. 11.如权利要求9所述的图像优化方法,其中,该输出图像数据包括多个像素数据,该图像优化方法还包括:11. The image optimization method as claimed in claim 9, wherein, the output image data comprises a plurality of pixel data, and the image optimization method further comprises: 计算各该像素数据及与各该像素数据邻近的多个邻近像素数据的亮度值的差来获得该细节变异度。The detail variability is obtained by calculating the difference between the brightness values of each of the pixel data and a plurality of adjacent pixel data adjacent to each of the pixel data. 12.如权利要求9所述的图像优化方法,其中,依据该饱和度调整权重来调整该第一图像数据的亮度以产生该输出图像数据的步骤包括:12. The image optimization method according to claim 9, wherein the step of adjusting the brightness of the first image data according to the saturation adjustment weight to generate the output image data comprises: 依据该亮度增幅以及一亮度增幅权重函数来获得一亮度修正权重值;Obtain a brightness correction weight value according to the brightness increase and a brightness increase weight function; 依据该细节变异度以及一细节变异权重函数来获得一细节变异修正权重值;以及obtaining a detail variation correction weight value according to the detail variation degree and a detail variation weight function; and 依据该亮度修正权重值以及该细节变异修正权重值的和来调整该输出图像数据以产生该调整后输出图像数据。The output image data is adjusted according to the sum of the brightness correction weight value and the detail variation correction weight value to generate the adjusted output image data. 13.如权利要求8所述的图像优化方法,其中,依据该图像数据亮度调整值来产生该饱和度调整权重的步骤包括:13. The image optimization method according to claim 8, wherein the step of generating the saturation adjustment weight according to the brightness adjustment value of the image data comprises: 依据一饱和度调整权重函数及该图像数据亮度调整值来产生该饱和度调整权重,generating the saturation adjustment weight according to a saturation adjustment weight function and the brightness adjustment value of the image data, 其中,该饱和度调整权重与该图像数据亮度调整值成反比。Wherein, the saturation adjustment weight is inversely proportional to the brightness adjustment value of the image data.

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