Lossless compression of images based on DPCM and S+P transform
Bicheng Li, Tianqiang Peng, Huan SU, Yuqi Huang, Zhigang Guo · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2002
s+P transform proposed by Amir Said[7] is a multiresolution representation method. It can map integers to integers, so it has been used in lossless compression of images with better performance than that of JPEG standard based on linear prediction. To further improve compression performance, this paper presents an efficient lossless compression algorithm of images based on DPCM and S+P transform. Firstly, an error image is obtained from an original image with linear prediction; Secondly, the error image is transformed with S+P transform; Finally, the transformed coefficients will be compressed effectively with entropy coding. We list our software simulation results, which are compared with those of other known algorithms7111011121 for multiresolution-based lossless compression. The comparison shows that our new method is effective and efficient, and produces the best results.