Image compression using wavelet based compressed sensing and vector quantization
作者： Mohit Kalra , D. Ghosh
DOI: 10.1109/ICOSP.2012.6491569
关键词:
摘要: Sparse signal representations and compressed sensing have found use in a large number of applications including image compression. Compressed exploits the sparsity naturally occurring images to reduce volume data by using less measurements. Inspired this, we propose new framework for compression that combines theory with wavelet vector quantization. Wavelet transform is used sparsify input while measurement vectors generated from sparse are transmitted Simulation experiments carried out analyze effects various parameters on reconstruction quality. Results obtained been be quite promising.
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