Optimizing Compression and Storage of JPEG Images
Keywords:Image compression, lossless, JPEG, image set, album compression, image coding.
The explosion in digital photography poses a significant challenge when it comes
to photo storage for both personal devices and the Internet. In this paper, we propose a novel
lossless compression method to further reduce the storage size of a set of JPEG coded
correlated images. In this method, we propose jointly removing the inter-image redundancy in
the feature, spatial, and frequency domains. For each album, we first organize the images into
a pseudo video by minimizing the global predictive cost in the feature domain. We then
introduce a disparity compensation method to enhance the spatial correlation between images.
Finally, the redundancy between the compensated signal and the corresponding target image
is adaptively reduced in the frequency domain. Moreover, our proposed scheme is able to
losslessly recover not only raw images but also JPEG files. Experimental results demonstrate
the efficiency of our proposed lossless compression, which achieves more than 12% bitsaving
on average compared with JPEG coded albums.
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