tailieunhanh - Báo cáo hóa học: " Research Article Video Coding Using 3D Dual-Tree Wavelet Transform"

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 Video Coding Using 3D Dual-Tree Wavelet Transform | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2007 Article ID42761 15 pages doi 2007 42761 Research Article Video Coding Using 3D Dual-Tree Wavelet Transform BeibeiWang 1 YaoWang 1 Ivan Selesnick 1 and Anthony Vetro2 1 Electrical and Computer Engineering Department Polytechnic University Brooklyn NY 11201 USA 2 Mitsubishi Electric Research Laboratories Cambridge MA 02139 USA Received 14 August 2006 Revised 14 December 2006 Accepted 5 January 2007 Recommended by Beatrice Pesquet-Popescu This work investigates the use of the 3D dual-tree discrete wavelet transform DDWT for video coding. The 3D DDWT is an attractive video representation because it isolates image patterns with different spatial orientations and motion directions and speeds in separate subbands. However it is an overcomplete transform with 4 1 redundancy when only real parts are used. We apply the noise-shaping algorithm proposed by Kingsbury to reduce the number of coefficients. To code the remaining significant coefficients we propose two video codecs. The first one applies separate 3D set partitioning in hierarchical trees SPIHT on each subset of the DDWT coefficients each forming a standard isotropic tree . The second codec exploits the correlation between redundant subbands and codes the subbands jointly. Both codecs do not require motion compensation and provide better performance than the 3D SPIHT codec using the standard DWT both objectively and subjectively. Furthermore both codecs provide full scalability in spatial temporal and quality dimensions. Besides the standard isotropic decomposition we propose an anisotropic DDWT which extends the superiority of the normal DDWT with more directional subbands without adding to the redundancy. This anisotropic structure requires significantly fewer coefficients to represent a video after noise shaping. Finally we also explore the benefits of combining the 3D DDWT with the standard DWT to capture a wider set

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