The Experts below are selected from a list of 15 Experts worldwide ranked by ideXlab platform
Manhyo Park - One of the best experts on this subject based on the ideXlab platform.
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p 53 a new method for improvement of response time by data compression using color space conversion
SID Symposium Digest of Technical Papers, 2005Co-Authors: Jongki An, Manhyo ParkAbstract:In recent years, we used overdriving scheme to improve the response time of the liquid crystal. Since conventional overdriving scheme uses memory to perform ideal processing, it is desired to reduce system cost by decreasing the stored data in these SDRAMs. In a general compression method, quantization, sub-sampling and Block Truncation Coding (BTC) are used, which process data in block and cause blocking effect. Here we propose new data compression method by color space conversion. Because this method compresses luminance and Chrominance Signal with different ratio, it efficiently reduces errors from block effect in decompressed image.
T Yamazaki - One of the best experts on this subject based on the ideXlab platform.
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an lsi architecture for block matching motion estimation algorithm considering Chrominance Signal
VLSI Signal Processing VIII, 1995Co-Authors: E Iwata, T YamazakiAbstract:We propose a new LSI architecture of motion estimation based on the full search algorithm of the block-matching method. The LSI architecture proposed has a 1-dimensional systolic array architecture with a pipelined adder which computes the error function in the whole array of circuit. This architecture can be extended to incorporate Chrominance components processing. This method has a significant improvement of the motion estimation performance compared to the conventional method which regards only luminance pixels, especially on a large search range.
Gerard De Haan - One of the best experts on this subject based on the ideXlab platform.
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content adaptive up scaling of Chrominance using classification of luminance and Chrominance data
Visual Communications and Image Processing, 2004Co-Authors: M. Zhao, Paul M. Hofman, Gerard De HaanAbstract:In a Standard Definition (SD) Television system, the Y:U:V video format 4:2:2 with Chrominance sub-sampling is widely used. With the advent of High Definition (HD) television, the 4:4:4 format is required for high-performance TV. High-quality up-sampling methods have been developed to perform a resolution conversion from Standard Definition (SD) Signal to HD Signal. Although these algorithms have been designed for spatial scaling of luminance, they may be adapted and used to up-sample the low-resolution components U,V (4:2:2) to a high-resolution UV-colour format (4:4:4). In this paper, a content-adaptive up-scaling method for Chrominance is proposed, with interpolation filters that adapt to the local structure of both luminance and Chrominance data. Optimal filters were computed from a large video data set in different colour formats, such that original high-resolution data in a 4:4:4 format was reconstructed from low-resolution colour data, on the basis of the Least Mean Square (LMS) criterion. By combining edge information of both luminance and Chrominance, the edge in the Chrominance Signal can be detected more accurately, thus exploiting the wider bandwidth of the luminance Signal.
Naoki Ozawa - One of the best experts on this subject based on the ideXlab platform.
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Chrominance moire reduction using ccm correlative coefficient multiplying Signal interpolation in single imager color video camera
The Journal of the Institute of Television Engineers of Japan, 1992Co-Authors: Naoki OzawaAbstract:A Signal interpolation method for Chrominance moire reduction in images from a single-imager color video camera has been developed. This method (Correlative Coefficient Multiplying : CCM) interpolates one color Signal using a second color Signal multiplied by a correlation coefficient related to the ratio of low frequency components of the two color Signals. It produces excellent quality video images with reduced Chrominance moire and high resolution, reducing the harmonic component of the Chrominance Signal. An effective application of the CCM interpolation method is explained, and still images reproduced by the CCM interpolation from a color imager with normal complimentary filter are evaluated.
Jongki An - One of the best experts on this subject based on the ideXlab platform.
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p 53 a new method for improvement of response time by data compression using color space conversion
SID Symposium Digest of Technical Papers, 2005Co-Authors: Jongki An, Manhyo ParkAbstract:In recent years, we used overdriving scheme to improve the response time of the liquid crystal. Since conventional overdriving scheme uses memory to perform ideal processing, it is desired to reduce system cost by decreasing the stored data in these SDRAMs. In a general compression method, quantization, sub-sampling and Block Truncation Coding (BTC) are used, which process data in block and cause blocking effect. Here we propose new data compression method by color space conversion. Because this method compresses luminance and Chrominance Signal with different ratio, it efficiently reduces errors from block effect in decompressed image.