48.1: A Novel Method for Image Contrast Enhancement in TFT‐LCDs: Dynamic Gamma Control (DGC)

Park, Haeng Won; Lee, Seung Woo; Kim, Young Gi; Kim, Jong Seon; Souk, Jun H.

doi:10.1889/1.1832534

Cited by 13 publications

(5 citation statements)

References 2 publications

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“…For example, dark images may have a dark stretch curve applied to them. Examples of this type of approach can be found in [1], [2] and [3]. In a video system which has a gamma look up table (LUT), the LUT has been used to implement the contrast look up function.…”

Section: Summary Of Existing Techniquesmentioning

confidence: 99%

44.2: Distinguished Paper: Adaptive Contrast Enhancement for Digital Video

Srinivasan¹,

Balram

2007

Symp Digest of Tech Papers

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This paper describes a new real-time adaptive contrast enhancement technique for digital video applications. The method is a modified contrast limited histogram equalization based procedure that adapts according to the input video statistics. The method decides whether to increase dynamic range or to light up dark regions of the image. As a result, for dark images, details in dark areas are enhanced without affecting mid and bright pixels. However for images with average brightness, the dynamic range of the scene is increased. It is adaptive and provides a localized contrast enhancement effect which is not possible with traditional contrast stretching/gamma LUT based approaches. Unlike traditional histogram equalization based approaches, the technique described automatically tones down its effects on pictures that are prone to contouring and other artifacts and is able to correctly enhance letter-boxed as well as full-screen video.

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Section: Summary Of Existing Techniquesmentioning

confidence: 99%

44.2: Distinguished Paper: Adaptive Contrast Enhancement for Digital Video

Srinivasan¹,

Balram

2007

Symp Digest of Tech Papers

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“…The problem, inherent to this technique, is that the brightness of the image will also increase in images that are strongly contrast enhanced and where most of the pixel values are near the bottom of the brightness range. As an example [2] it has been shown that boosting the dark regions contrast results in a 3X improvement in Contrast Ratio and a 1.7X increase in brightness. This brightness increase creates a problem by changing the brightness dynamics of the film content.…”

Section: Gamma and Backlight Optimizationmentioning

confidence: 99%

P-49: A Programmable Gamma Reference Buffer with Integrated Backlight Control

Orlando

Larimer

Blyth

et al. 2006

SID Symposium Digest

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Backlight modulation, when coupled with gamma remapping, can significantly increase the performance of a TFT LCD panel in terms of contrast ratio, black level and power consumption. A programmable gamma reference buffer with integrated backlight control has been developed to support dynamic gamma control in conjunction with backlight control to enable performance enhancements in notebook computers and LCD televisions.

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“…They tested the regular change between grayscale voltage and luminance on the panel without gamma correction to collect the brightness curve, then interpolated the data of second panel using a nonlinear DAC to obtain another brightness curve, and the final step is to find the relationship curve between the brightness and the gray level voltage by matching those two curves according to the curve of ideal perceived brightness by the human eyes. Haeng et al [4] . used a dynamic voltage method to process the gamma curve so that the voltage and brightness are dynamically balanced and the grayscale voltage could change in real-time with the brightness.…”

Section: Introductionmentioning

confidence: 99%

22‐1: A Novel Gamma Prediction Algorithm for FDC Region of AMOLED Panel Based on CNN Model

Xu,

Tian,

Hou

et al. 2023

Symp Digest of Tech Papers

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To ensure the uniformity of panel image quality, it is necessary to gamma correct the normal and FDC（full display camera） regions of the panel, but the gamma TT（tack time） is particularly long, especially the FDC takes about 110 seconds, resulting in lower production efficiency. Currently, the FDC correction algorithm uses the gamma value of the previous panel as the initial value, and its average error is about 60, and the error is large. To reduce the FDC gamma TT, this paper proposes a new algorithm based on CNN, which inputs normal gamma and predicts FDC gamma. The predicted results are taken as the starting value of the gamma in the FDC region, the starting value error is small and the FDC gamma TT is greatly shortened. Experimental results show that compared with the existing algorithm, the accuracy of the initial value of the FDC region is increased by 10 times. FDC gamma TT was reduced by about 3.5 times.

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48.1: A Novel Method for Image Contrast Enhancement in TFT‐LCDs: Dynamic Gamma Control (DGC)

Cited by 13 publications

References 2 publications

44.2: Distinguished Paper: Adaptive Contrast Enhancement for Digital Video

44.2: Distinguished Paper: Adaptive Contrast Enhancement for Digital Video

P-49: A Programmable Gamma Reference Buffer with Integrated Backlight Control

22‐1: A Novel Gamma Prediction Algorithm for FDC Region of AMOLED Panel Based on CNN Model

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