• DOI:10.5815/IJIGSP.2016.01.07
Corpus ID: 21966940

Image Compression and Reconstruction using Discrete Rajan Transform Based Spectral Sparsing

@article{Mallikarjuna2016ImageCA,
  title={Image Compression and Reconstruction using Discrete Rajan Transform Based Spectral Sparsing},
  author={K. Mallikarjuna and K. Prasad and M. Subramanyam},
  journal={International Journal of Image, Graphics and Signal Processing},
  year={2016},
  volume={8},
  pages={59-67}
}

K. Mallikarjuna, K. Prasad, M. Subramanyam

Published 2016

Mathematics

International Journal of Image, Graphics and Signal Processing

As a contribution from research conducted by many, various image compression techniques have been developed on the basis of transformation or decomposition algorithms. The compressibility of a signal is seen to be affected by the entropy in the signal. Compressibility is high if the energy distribution is concentrated in fewer coefficients. It is reasonable to expect that sparse signals have a highly compressible nature. Thus, sparse representations have potential uses in image compression… CONTINUE READING

View PDF

Save to Library

Create Alert

Cite

Launch Research Feed