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Image set compression for similar images with priorities

Image set compression for similar images with priorities

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This Letter first proposes an algorithm for compressing the sets of the similar images with priorities. The proposed algorithm includes four modules, i.e. priority assigned, depth- and priority-constrained minimum arborescence generation, disparity reduction, and residue coding. Experimental results demonstrate that the proposed algorithm can effectively compress the similar images with priorities, and achieves similar rate-distortion performance to the state-of-the-art image set compression algorithm which has no constraints of depth and priority.

http://iet.metastore.ingenta.com/content/journals/10.1049/el.2018.7342
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