2012
DOI: 10.3844/ajassp.2012.519.525
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Still Image Compression Using Texture and Non Texture Prediction Model

Abstract: Problem statement: Existing lossless image compression schemes attempt to do prediction in an image data using their Local Binary Pattern (LBP) and their spatial neighborhood based techniques. In the previous techniques such as Vector Quantization (VQ) and Gradient Adjusted Prediction (GAP) the texture and non-texture regions are not classified separately. Texture and Nontexture images prophecy has been a key factor in efficient lossless image compression. Hence, there is a need to develop a more efficient ima… Show more

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