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» SSIM-inspired image denoising using sparse representations
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ICIP
2010
IEEE
13 years 5 months ago
Morphological wavelet transform with adaptive dyadic structures
We propose a two component method for denoising multidimensional signals, e.g. images. The first component uses a dynamic programing algorithm of complexity O(N log N) to find an ...
Zhen James Xiang, Peter J. Ramadge
JDCTA
2010
203views more  JDCTA 2010»
13 years 2 months ago
Preprocessing Method for NaXi Pictographs Character Recognition Using Wavelet Transform
Preprocessing, a major component of Character Recognition System, has direct effect on the recognition system by its performance. Using wavelet transform, this paper mainly focuse...
Hai Guo, Jing-ying Zhao, Xiao-niu Li
ICIP
2005
IEEE
14 years 9 months ago
Signal estimation using multiple-wavelet representations and Gaussian models
Signal processing using over-complete representations has been an active research field in recent years. In this article, we study the following two related problems: (1) given tw...
Guang Deng
ICCV
2007
IEEE
14 years 9 months ago
Feature Preserving Image Smoothing Using a Continuous Mixture of Tensors
Many computer vision and image processing tasks require the preservation of local discontinuities, terminations and bifurcations. Denoising with feature preservation is a challeng...
Özlem N. Subakan, Bing Jian, Baba C. Vemuri, ...
CCIW
2011
Springer
12 years 11 months ago
On the Application of Structured Sparse Model Selection to JPEG Compressed Images
The representation model that considers an image as a sparse linear combination of few atoms of a predefined or learned dictionary has received considerable attention in recent ye...
Giovanni Maria Farinella, Sebastiano Battiato