An Efficient Compound Video Compression by Exploiting Spatial Correlation

In the past, JBIG technique produced strong anisotropic features. But JBIG has inefficient on compress. To solve the problem, this paper proposes a novel coding scheme based on the H.264 intra-frame coding. The H.264 contains two steps to compress the video. The first is residual scalar quantization (RSQ) mode. It directly quantized and entropy coded. In the entropy coding part, quantized residues are compressed in a similar manner to the coding of DCT transform coefficients. The second is base colors and index map (BCIM) mode that can be viewed as an adaptive vector quantization. In the BCIM mode, we first get the base colors of a block by using a clustering algorithm. All the base colors constitute a base color table. Then, each sample in the block will be quantized to its nearest base color. The index map indicates which base color is used by each sample. Experimental results show that the proposed scheme not only improves the coding efficiency even more than 10dB for compound images but also keeps the similar performance as H.264 for natural images. Index term: DCT, BCIM, RSQ and compound image