Optimized atom position and coefficient coding for matching pursuit-based image compression
IEEE Transactions on Image Processing
Space-frequency quantization for wavelet image coding
IEEE Transactions on Image Processing
Wavelet packet image coding using space-frequency quantization
IEEE Transactions on Image Processing
Space-Frequency Quantization for Image Compression With Directionlets
IEEE Transactions on Image Processing
Rate Distortion Optimization for H.264 Interframe Coding: A General Framework and Algorithms
IEEE Transactions on Image Processing
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Low-complexity transform and quantization in H.264/AVC
IEEE Transactions on Circuits and Systems for Video Technology
Context-based adaptive binary arithmetic coding in the H.264/AVC video compression standard
IEEE Transactions on Circuits and Systems for Video Technology
Rate-constrained coder control and comparison of video coding standards
IEEE Transactions on Circuits and Systems for Video Technology
Rate-Distortion Modeling for Efficient H.264/AVC Encoding
IEEE Transactions on Circuits and Systems for Video Technology
Rate-Distortion Cost Estimation for H.264/AVC
IEEE Transactions on Circuits and Systems for Video Technology
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Since the joint optimization coding for the level and the map information of transformed coefficients has been applied to the image coding successfully, this paper addresses the problem of how to optimize the two parts of information of residual coefficients jointly in the state-of-the-art video coding standard-H.264/AVC. In order to solve this problem, this paper presents a pruning method to zero out residual coefficients, which are not valuable for encoding in rate-distortion optimization (RDO) sense. Furthermore, a joint optimization scheme is presented to combine scalar quantization with this pruning method together to further improve the compression performance of the proposed algorithm. Experiments have been conducted based on the reference encoder JM12.4 of H.264/AVC. Comparative studies show that the proposed joint coding method can achieve a PSNR gain more than 0.5dB at a certain bit rate, compared with the coding method in the H.264/AVC. Especially, the PSNR gain can reach up to 0.9dB, or equivalently, 17% bit rate saving can be achieved at some special cases.