Entropy Constrained Overcomplete-based Coding of Natural Images
نویسندگان
چکیده
We introduce an Entropy-Constrained OvercompleteBased coding scheme for natural images. The traditional overcomplete-based framework for compression is improved in its main components. The main contribution of the work is a new dictionary learning algorithm for overcomplete-based compression, referred as Entropy-Constrained Dictionary Learning. We show that the presented scheme outperforms a basic DCT coder with gains of up to 2 dB.
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تاریخ انتشار 2011