Wavelet Based Sparse Image Reconstruction Using Compressed Sensing Algorithm And Vector Quantization

Abstract

Ordinary images, as well as most natural and manmade signals, are compressible and can, therefore, be well represented in a domain in which the signal is sparse. Compressed sensing (CS) uses a less number of linearly projected measurements to exploit the sparsity of naturally occurring images to reduce the volume of the data. Inspired by recent theoretical… (More)

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Cite this paper

@inproceedings{Bedarkar2014WaveletBS, title={Wavelet Based Sparse Image Reconstruction Using Compressed Sensing Algorithm And Vector Quantization}, author={Smita T. Bedarkar}, year={2014} }