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TIP
2010
112views more  TIP 2010»
13 years 5 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
DCC
2004
IEEE
14 years 7 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»
14 years 1 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»
13 years 7 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
SPIESR
1998
239views Database» more  SPIESR 1998»
13 years 8 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