A Unified LZ and Hybrid Coding for Compound Image Partial-Lossless Compression
A Unified LZ and Hybrid Coding for Compound Image Partial-Lossless Compression
复制标题
DOI：
10.1109/cisp.2009.5301019
复制
发表时间：
2009-10
期刊：
影响因子：
--
通讯作者：
Shuhui Wang;Tao Lin
中科院分区：
文献类型：
--
作者：
Shuhui Wang;Tao Lin
本文提出了一种统一的LZ和混合编码（ULHC）的复合图像和视频压缩方法。该方法基于宏块。264和gzip同时编码，然后使用率失真优化选择H.264编码或gzip编码作为宏块的最终编码。为了提高ULHC的压缩性能，gzip使用最新的32 k字节的重建宏块数据作为字典。此外，如果图像中的至少一个宏块由gzip编码，则去块被禁用。实验结果表明，对于由自然视频图片、文字和图形组成的图像，该方法的峰值信噪比比H. 264提高了18 dB，而对于文字和图形混合的图像，率失真性能的改善更为显著。另一个重要特征是ULHC可以实现具有非常高的压缩比（通常超过18）的部分无损和部分近无损编码。关键词-复合图像和视频; LZ;混合编码;率失真优化;部分无损
This paper proposes a Unified LZ and Hybrid Coding (ULHC) method for compound image and video compression. The method is macroblock-based. Each macroblock is first coded simultaneously by both H.264 and gzip, then rate- distortion optimization is used to select either H.264 coding or gzip coding as the final coding of the macroblock. To improve the compression performance of ULHC, gzip uses the most recent 32k bytes of reconstructed macroblock data as the dictionary. Moreover, deblocking is disabled if at least one macroblock in an image is coded by gzip. Experimental results show that for images composed of natural video picture, text, and graphics, the proposed method provides up to 18 dB higher PSNR than H.264, while for text and graphics mixed images, the rate-distortion performance improvement is more significant. Another important feature is that ULHC can achieve partial-lossless and partial-near-lossless coding with a very high compression ratio, typically over 18. Keywords-compound image and video; LZ; Hybrid Coding; rate-distortion optimization; partial-lossless