Compressed sensing meets the human visual system

Authors:
Iulian B. Ciocoiu
Affiliations:
"Gheorghe Asachi" Technical University of Iasi, Faculty of Electronics, Telecommunications, and Information Technology, Iasi, Romania
Venue:
ICHIT'11 Proceedings of the 5th international conference on Convergence and hybrid information technology
Year:
2011

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Abstract

Foveation principles suggested by the Human Visual System have already been used with significant success for compression purposes on both 1D and 2D data. The method provides spatially variable quality of the reconstructed information, enabling better approximation of specific regions of interest. Combining this approach with the principles behind Compressed Sensing theory enable further improvement of compression ratio performances, as indicated by experimental results on a set of natural images.