Optimal bit allocation for biorthogonal wavelet coding
DCC '96 Proceedings of the Conference on Data Compression
Adaptive Directional Lifting-Based Wavelet Transform for Image Coding
IEEE Transactions on Image Processing
Direction-Adaptive Discrete Wavelet Transform for Image Compression
IEEE Transactions on Image Processing
Weighted Adaptive Lifting-Based Wavelet Transform for Image Coding
IEEE Transactions on Image Processing
Directional filtering transform for image/intra-frame compression
IEEE Transactions on Image Processing
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This paper proposes the directional filtering transform (dFT, in order to distinguish from the common usage on DFT) to better exploit intra-frame correlation in H.264 intra-frame coding. It consists of a directional filtering and an optional DCT transform. In the proposed directional filtering, there are two different approaches. One is the uni-directional filtering (UDF) that is similar to H.264 directional intra prediction. In this approach, only samples from neighboring blocks can be used in prediction. Another is bi-directional filtering (BDF) that exploits the correlations among samples from not only neighboring blocks but also the current block. The prediction structure in this approach is hierarchical multi-layer. In this paper, we present mathematical analyses on UDF and BDF and show the advantage to combine them together. The proposed dFT is integrated into H.264 intra-frame coding too. The preliminary experimental results in H.264 demonstrate its superiority.