关键词: 数据压缩, 熵编码, 图像预处理, 图像变换, 统计特性, U型分布

Abstract: Most image pre-processing approaches before encoding usually cause information loss. An adaptive and reversible image pre-processing method was proposed for a better performance of entropy coding. It was addressed by two steps, namely the bit-plane decomposition and the new reversible image transform scheme under different transform patterns in 8/4 pixel processing. Among transformed images, the one with the least entropy was selected as the pre-processing output with the histogram U-shape redistributed. The experimental results illustrate that the proposed method efficiently improves the performance of entropy coding by increasing the compression ratio than that of plain entropy coding.

Key words: data compression, entropy coding, image pre-processing, image transform, statistical characteristic, U-shape distribution