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Báo cáo hóa học: "Research Article A New Frame Memory Compression Algorithm with DPCM and VLC in a 4×4 Block"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A New Frame Memory Compression Algorithm with DPCM and VLC in a 4×4 Block | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 629285 18 pages doi 10.1155 2009 629285 Research Article A New Frame Memory Compression Algorithm with DPCM and VLC in a 4x4 Block Yongseok Jin Yongje Lee and Hyuk-Jae Lee Department of Electrical Engineering and Computer Science Inter- University Semiconductor Research Center Seoul National University Seoul 151-742 South Korea Correspondence should be addressed to Hyuk-Jae Lee hyuk_jae_lee@capp.snu.ac.kr Received 11 January 2009 Revised 8 July 2009 Accepted 15 November 2009 Recommended by Gloria Menegaz 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 4x4 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 768x512-size images. Copyright 2009 Yongseok Jin et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. .