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Ionospheric imaging with compressed sensing
(University of Illinois, 2013)
Compressed sensing is a novel theory of sampling and reconstruction that has emerged in the past several years. It seeks to leverage the inherent sparsity of natural images to reduce the number of necessary measurements ...
Reversible information hiding for VQ indices based on locally adaptive coding
(2011-06-14)
Steganography is one of protective methods for secret communications over public networks such as the Internet. This paper proposes a novel reversible information hiding method for vector quantization (VQ) compressed images ...
Radar imaging with compressed sensing
(American Geophysical Union, 2013-10)
A novel technique for radar-imaging inversions is proposed which leverages ideas from the emerging field of compressed sensing. This new method takes advantage of the transform sparsity inherent in natural images. Theoretical ...
3D Searchless Fractal Video Encoding at Low Bit Rates
(SpringerDordrechtHolanda, 2013)
Hamming Graph based Image Compression with variable Threshold
(ICGST, 2015-06-12)
In this paper a lossy image compression methodusing the adjacency matrix of a graph is proposed.We instantiate the method using the Hamming graph,which gives rise to an image compression algorithmthat uses a Hadamard Matrix ...