Wavelet Based Image Compression Using Sparse Representation and Vector Quantization

نویسنده

  • SMITA T. BEDARKAR
چکیده

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. Sparse signal representations have found use in a large number of applications including image compression. Inspired by recent theoretical advances in sparse representation, we propose an image compression using wavelet, sparse representation and vector quantization. Keyword: image compression, wavelet, sparse representation, vector quantization.

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تاریخ انتشار 2014