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DCC
2010
IEEE
14 years 2 months ago
Block Compressed Sensing of Images Using Directional Transforms
Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously wi...
Sungkwang Mun, James E. Fowler
JVCIR
2010
162views more  JVCIR 2010»
13 years 5 months ago
Tetrolet transform: A new adaptive Haar wavelet algorithm for sparse image representation
In order to get an efficient image representation we introduce a new adaptive Haar wavelet transform, called Tetrolet Transform. Tetrolets are Haar-type wavelets whose supports ar...
Jens Krommweh
TMI
2008
84views more  TMI 2008»
13 years 7 months ago
Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs
In this article, we propose an automatic method to detect microaneurysms in retina photographs. Microaneurysms are the most frequent and usually the first lesions to appear as a co...
Gwénolé Quellec, Mathieu Lamard, P. ...
ISCAS
2008
IEEE
171views Hardware» more  ISCAS 2008»
14 years 1 months ago
Statistical image modeling using von Mises distribution in the complex directional wavelet domain
— In this paper, a new statistical model is proposed for modeling the nature images in the transform domain. We demonstrate that the von Mises distribution (VM) fits accurately ...
An P. N. Vo, Soontorn Oraintara, Truong T. Nguyen
TIP
2008
195views more  TIP 2008»
13 years 6 months ago
Image Coding Using Dual-Tree Discrete Wavelet Transform
In this paper, we explore the application of 2-D dual-tree discrete wavelet transform (DDWT), which is a directional and redundant transform, for image coding. Three methods for sp...
Jingyu Yang, Yao Wang, Wenli Xu, Qionghai Dai