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A Lossless Compression Method for Compound Images


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1 Karunya University, Coimbatore, India
     

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To transmits the compound images, it needs efficient compression methods because compound images has combination of text, graphics and natural image. The existing compression methods which contain, compound images are insufficient to compress because it contain text and graphics and natural images. This paper proposes a novel coding scheme from the H.264 intraframe coding. To overcome this problem we use two modes of intra coding methods. The first is the residual lossless scalar quantization (RLSQ) mode, where intra-predicted 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. That the proposed scheme improves the coding efficiency even at most bit rates for compound images and it has very low complexity and provides visually lossless quality while keeping competitive compression ratios.

Keywords

Compound Image Compression, Intra Coding, Lossless Image Coding, Lossless Video Coding, Spatial Prediction.
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  • A Lossless Compression Method for Compound Images

Abstract Views: 184  |  PDF Views: 3

Authors

R. Vimalraj
Karunya University, Coimbatore, India
Bhanu Prakash Varma
Karunya University, Coimbatore, India

Abstract


To transmits the compound images, it needs efficient compression methods because compound images has combination of text, graphics and natural image. The existing compression methods which contain, compound images are insufficient to compress because it contain text and graphics and natural images. This paper proposes a novel coding scheme from the H.264 intraframe coding. To overcome this problem we use two modes of intra coding methods. The first is the residual lossless scalar quantization (RLSQ) mode, where intra-predicted 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. That the proposed scheme improves the coding efficiency even at most bit rates for compound images and it has very low complexity and provides visually lossless quality while keeping competitive compression ratios.

Keywords


Compound Image Compression, Intra Coding, Lossless Image Coding, Lossless Video Coding, Spatial Prediction.