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TIP
2010
112views more  TIP 2010»
14 years 7 months ago
Variable Density Compressed Image Sampling
Compressed sensing (CS) provides an efficient way to acquire and reconstruct natural images from a reduced number of linear projection measurements at sub-Nyquist sampling rates....
Zhongmin Wang, Gonzalo R. Arce
77
Voted
DCC
2004
IEEE
15 years 9 months ago
Predicting Wavelet Coefficients Over Edges Using Estimates Based on Nonlinear Approximants
It is well-known that wavelet transforms provide sparse decompositions over many types of image regions but not over image singularities/edges that manifest themselves along curve...
Onur G. Guleryuz
ICMCS
2006
IEEE
147views Multimedia» more  ICMCS 2006»
15 years 3 months ago
A Secret Key Based Multiscale Fragile Watermark in the Wavelet Domain
The distribution of the wavelet coefficients in 2-D discrete wavelet transform (DWT) subspaces can be well described by a Gaussian mixture statistical model. In this paper, a secr...
Hua Yuan, Xiao-Ping Zhang
JMIV
2002
126views more  JMIV 2002»
14 years 9 months ago
Tree-Structured Haar Transforms
In our recent work, a class of parametric transforms, including family of Haar-like transforms, was introduced and studied in application to image compression. Parametric Haar-lik...
Karen O. Egiazarian, Jaakko Astola
106
Voted
SPIESR
1998
239views Database» more  SPIESR 1998»
14 years 10 months ago
Robust Embedded Data from Wavelet Coefficients
An approach to embedding gray scale images using a discrete wavelet transform is proposed. The proposed scheme enables using signature images that could be as much as 25% of the h...
Jong Jin Chae, B. S. Manjunath