Remote sensing image compression based on double-sparsity dictionary learning and universal trellis coded quantization

In this paper, we propose a novel remote sensing image compression method based on double-sparsity dictionary learning and universal trellis coded quantization (UTCQ). Recent years have seen a growing interest in the study of natural image compression based on sparse representation and dictionary le...

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Veröffentlicht in:	Proceedings - International Conference on Image Processing S. 1665 - 1669
Hauptverfasser:	Zhan, Xin, Zhang, Rong, Yin, Dong, Hu, Anzhou, Hu, Wenlong
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.09.2013
Schlagworte:	Atoms Dictionaries Dictionary learning Image coding image compression Machine learning Quantization (signal) Remote sensing Sparse approximation Training Transform coding universal trellis coded quantization Vectors
ISSN:	1522-4880
Online-Zugang:	Volltext
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