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» Complexity-Regularized Image Denoising
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ICASSP
2011
IEEE
12 years 11 months ago
On cooperative image denoising
In this paper we suggest how several competing image denoising algorithms, differing in design parameters, or even in design principles, can be combined together to yield a better...
Maciej Niedzwiecki, Szymon Gackowski
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
CVPR
2012
IEEE
11 years 10 months ago
Image denoising: Can plain neural networks compete with BM3D?
Image denoising can be described as the problem of mapping from a noisy image to a noise-free image. The best currently available denoising methods approximate this mapping with c...
Harold Christopher Burger, Christian J. Schuler, S...
ICIP
2010
IEEE
13 years 4 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
ICIP
2002
IEEE
14 years 16 days ago
Fractal-wavelet image denoising
—The essence of fractal image denoising is to predict the fractal code of a noiseless image from its noisy observation. From the predicted fractal code, one can generate an estim...
Mohsen Ghazel, Edward R. Vrscay, George H. Freeman