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imagecompress's Introduction

ImageCompress

本项目的初衷是探索对大批量的相似图片进行无损压缩方法:即设计一个对大量的相似图片序列进行无损压缩的程序,尤其适用于固定位置的抓拍机的抓拍图。

设想的是

                m-ref = sign(m-ref)*abs(m-ref)

即将当前图像m与参考图像ref作差,得到其符号图像和差值图像,符号图像是二值图像,可以较好地压缩,而由于相似度较大,差值图像也可以较好地进行压缩。

若符号图像和差值图像可无损保存,则可以无损地恢复原始图像m,本项目采用zlib压缩和解压,已经被证实这是可行的。

然而经过测试发现,此项目效果不佳,仅针对相似度较高的图片序列可能有效果。相似图像之间的压缩,宜采用H.264,H.265等有损算法,或许可以大幅提升压缩比。

2019-10-29

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