Compress Compound Images in H.264/MPGE-4 AVC by Using Compound Image Coding
Journal Title: The International Journal of Technological Exploration and Learning - Year 2013, Vol 2, Issue 5
Abstract
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 ratedistortion 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.
Authors and Affiliations
Girish Kumar Patra| Electronics and Communication Engineering Qis College of Engineering and Technology Ongole, Prakasam Dist, India, B Malleshwari| Electronics and communication Engineering Qis College of Engineering and Technology Ongole, Prakasam Dist, India, N Venkateswarlu| Electronics and Communication Engineering Vizag Institute of Technology, Vizag, B Murali Krishna| Electronics and Communication Engineering Vizag Institute of Technology, Vizag
Keywords
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