International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
May. 2022
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 111
Paper Published : 1546
No. of Authors : 4203
  Journal Paper


Paper Title :
Wavelet Based Image Compression Using Sparse Representation And Vector Quantization

Author :Smita T. Bedarkar, N.S.Ambatkar

Article Citation :Smita T. Bedarkar ,N.S.Ambatkar , (2014 ) " Wavelet Based Image Compression Using Sparse Representation And Vector Quantization " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 01-05, Volume-2,Issue-5

Abstract : 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. 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.

Type : Research paper

Published : Volume-2,Issue-5


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