Color quantization by dynamic programming and principal analysis
ACM Transactions on Graphics (TOG)
Video Processing and Communications
Video Processing and Communications
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
Optimizing block-thresholding segmentation for multilayer compression of compound images
IEEE Transactions on Image Processing
Compound image compression for real-time computer screen image transmission
IEEE Transactions on Image Processing
Improved lossless intra coding for H.264/MPEG-4 AVC
IEEE Transactions on Image Processing
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
Segmentation-Driven Compound Document Coding Based on H.264/AVC-INTRA
IEEE Transactions on Image Processing
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Lifting-Based Directional DCT-Like Transform for Image Coding
IEEE Transactions on Circuits and Systems for Video Technology
Directional Discrete Cosine Transforms—A New Framework for Image Coding
IEEE Transactions on Circuits and Systems for Video Technology
An Adobe Flash-based screencast solution with customized screen codec
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
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Compound images are a combination of text, graphics and natural image. They present strong anisotropic features, especially on the text and graphics parts. These anisotropic features often render conventional compression inefficient. Thus, this paper proposes a novel coding scheme from the H.264 intraframe coding. In the scheme, two new intramodes are developed to better exploit spatial correlation in compound images. The first is the residual scalar quantization (RSQ) mode, where intrapredicted residues are directly quantized and coded without transform. The second is the base colors and index map (BCIM) mode that can be viewed as an adaptive color quantization. In this mode, an image block is represented by several representative colors, referred to as base colors, and an index map to compress. Every block selects its coding mode from two new modes and the previous intramodes in H.264 by rate-distortion optimization (RDO). Experimental results show that the proposed scheme improves the coding efficiency even more than 10 dB at most bit rates for compound images and keeps a comparable efficient performance to H.264 for natural images.