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COMPRESSIVE SENSING WITH MODIFIED TOTAL VARIATION...
Conference

COMPRESSIVE SENSING WITH MODIFIED TOTAL VARIATION MINIMIZATION ALGORITHM

Abstract

In this paper, the reconstruction problem of compressive sensing algorithm that is exploited for image compression, is investigated. Considering the Total Variation (TV) minimization algorithm, and by adding some new constraints compatible with typical image properties, the performance of the reconstruction is improved. Using DCT and contourlet transforms, sparse expansion of the image are exploited to provide new constraints to remove …

Authors

Dadkhah MR; Shirani S; Jamal MD

Pagination

pp. 1310-1313

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

January 1, 2010

DOI

10.1109/icassp.2010.5495429

Name of conference

2010 IEEE International Conference on Acoustics, Speech and Signal Processing