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» An efficient first-order method for l1 compression of images
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TIP
1998
128views more  TIP 1998»
13 years 5 months ago
Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage
This paper examines the relationship between wavelet-based image processing algorithms and variational problems. Algorithms are derived as exact or approximate minimizers of varia...
Antonin Chambolle, Ronald A. DeVore, Nam-Yong Lee,...
JSCIC
2010
231views more  JSCIC 2010»
13 years 16 days ago
Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction
Variational models for image segmentation have many applications, but can be slow to compute. Recently, globally convex segmentation models have been introduced which are very rel...
Tom Goldstein, Xavier Bresson, Stanley Osher
ICIP
2007
IEEE
14 years 7 months ago
An Efficient Method for Compressed Sensing
Compressed sensing or compressive sampling (CS) has been receiving a lot of interest as a promising method for signal recovery and sampling. CS problems can be cast as convex prob...
Seung-Jean Kim, Kwangmoo Koh, Michael Lustig, Step...
TCSV
2002
67views more  TCSV 2002»
13 years 5 months ago
A new compression scheme for color-quantized images
An efficient compression scheme for color-quantized images based on progressive coding of color information has been developed. Instead of sorting color indexes into a linear list ...
Xin Chen, Sam Kwong, Ju-fu Feng
EUROMICRO
2000
IEEE
13 years 10 months ago
Efficient Image Compression of Medical Images Using the Wavelet Transform and Fuzzy c-means Clustering on Regions of Interest
This paper suggests a novel image compression scheme, using the discrete wavelet transformation (DWT) and the fuzzy c-means clustering technique. The goal is to achieve higher com...
Dimitris A. Karras, S. A. Karkanis, Dimitrios E. M...