The suppression of noise on a dithering image in LCD overdrive

Someya, Jun; Okuda, Noritaka; Sugiura, Hiroaki

doi:10.1109/tce.2006.273152

Cited by 28 publications

(9 citation statements)

References 5 publications

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“…There exist a number of applications other than H.264/AVC video compression that store video data in frame memory. For instance, an LCD display driver needs frame memory to store its output video [10,11]. For another example, a 2D or 3D graphics processor also requires frame memory [14].…”

Section: Fmc Of Frame Memory In Rgb Color Spacementioning

confidence: 99%

“…In an LCD display driver or 2D/3D graphic processor, an image is stored in the RGB 4 : 4 : 4 format in which each pixel is represented by R, G, and B color components. Unlike the YCbCr colors in the 4 : 2 : 0 format, RGB color components in the 4 : 4 : 4 format are, in general, accessed at the same time [10][11][12][13][14]. Thus, an effective memory access is possible by storing three color components for one pixel in consecutive memory addresses.…”

Section: Fmc In the 4 : 4 : 4 Format And Combined Packetizationmentioning

confidence: 99%

“…Due to the sequential nature of the pattern decision, a large latency is expected if this algorithm is implemented in hardware. Frame memory compression techniques for specific applications have been proposed [10,11]. For LCD, it is often the case that data are over-driven to compensate for the slow response time of an LCD panel.…”

Section: Introductionmentioning

confidence: 99%

“…Frame memory is used not only in a video compression processor but also in an LCD driver [10,11] or a 2D/3D graphics processing chip [14]. A 50% compression of a reference frame can also be used for these chips to save the frame memory bandwidth and space.…”

Section: Introductionmentioning

confidence: 99%

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A New Frame Memory Compression Algorithm with DPCM and VLC in a 4×4 Block

Jin

Lee

2009

EURASIP J. Adv. Signal Process.

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Frame memory compression (FMC) is a technique to reduce memory bandwidth by compressing the video data to be stored in the frame memory. This paper proposes a new FMC algorithm integrated into an H.264 encoder that compresses a 4×4 block by differential pulse code modulation (DPCM) followed by Golomb-Rice coding. For DPCM, eight scan orders are predefined and the best scan order is selected using the results of H.264 intra prediction. FMC can also be used for other systems that require a frame memory to store images in RGB color space. In the proposed FMC, RGB color space is transformed into another color space, such as YCbCr or G, R-G, B-G color space. The best scan order for DPCM is selected by comparing the efficiency of all scan orders. Experimental results show that the new FMC algorithm in an H.264 encoder achieves 1.34 dB better image quality than a previous MHT-based FMC for HD-size sequences. For systems using RGB color space, the transform to G, R-G, B-G color space makes most efficient compression. The average PSNR values of R, G, and B colors are 46.70 dB, 50.80 dB, and 44.90 dB, respectively, for 768×512-size images.

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Section: Fmc Of Frame Memory In Rgb Color Spacementioning

confidence: 99%

Section: Fmc In the 4 : 4 : 4 Format And Combined Packetizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A New Frame Memory Compression Algorithm with DPCM and VLC in a 4×4 Block

Jin

Lee

2009

EURASIP J. Adv. Signal Process.

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“…Introduction: Frame rate up-conversion (FRUC) is a technology that interpolates new frames between the original frames. Recently, FRUC methods are mainly used to prevent the motion blur problem in liquid crystal displays [1,2]. Among the several FRUC algorithms, bilateral motion estimation (BME) can effectively avoid holes and overlap problems [3], resulting in its wide usage.…”

mentioning

confidence: 99%

Bilateral frame rate up‐conversion algorithm based on the comparison of texture complexity

Lee

2016

Electron. lett.

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A new bilateral frame rate up-conversion (FRUC) algorithm based on the bi-directional comparison of the texture complexity in the reference frame is proposed. In the proposed algorithm, the accuracy of the motion estimation (ME) process is determined by the comparison of the prediction size in the reference region of the bi-directional ME process. Base on this comparison, the adaptive refinement process is adjusted. In the experimental results, the proposed algorithm outperforms the conventional bilateral FRUC algorithm by 0.27 dB.

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13‐4: Adaptive Threshold Method for Dither Noise Reduction in Response Time Acceleration for 8K LCD TV

Chung

Kwon

Park

et al. 2021

Symp Digest of Tech Papers

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In the existing Response Time Acceleration(RTA) system, dithering in the still image causes the pixel flickering. There were meaningful ways to remove this, but it was difficult to apply to high‐ratio compression with high complexity due to many restrictions on application. To solve this problem, we propose a method of removing dither noise by applying an Adaptive threshold. As a result, this paper shows that it can be applied to high‐ratio compressors having various compression method while improving the existing noise removal performance.

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The suppression of noise on a dithering image in LCD overdrive

Cited by 28 publications

References 5 publications

A New Frame Memory Compression Algorithm with DPCM and VLC in a 4×4 Block

A New Frame Memory Compression Algorithm with DPCM and VLC in a 4×4 Block

Bilateral frame rate up‐conversion algorithm based on the comparison of texture complexity

13‐4: Adaptive Threshold Method for Dither Noise Reduction in Response Time Acceleration for 8K LCD TV

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