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The explosion of digital photos has posed a significant challenge to photo storage and transmission for both personal devices and cloud platforms. In this paper, we propose a novel lossless compression method to further reduce the size of a set of JPEG coded correlated images without any loss of information. The proposed method jointly removes inter/intra image redundancy in the feature, spatial,...
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....
The biggest challenge in image set compression is how to efficiently remove the set redundancy among images as well as the redundancy inside a single image. Different from all the previous schemes, in this paper we are the first to propose a generic image set compression scheme which removes the set redundancy based on local features in addition to luminance values. The SIFT (Scale Invariant Feature...
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