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» On cooperative image denoising
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PAMI
2008
181views more  PAMI 2008»
13 years 8 months ago
Automatic Estimation and Removal of Noise from a Single Image
Image denoising algorithms often assume an additive white Gaussian noise (AWGN) process that is independent of the actual RGB values. Such approaches cannot effectively remove colo...
Ce Liu, Richard Szeliski, Sing Bing Kang, C. Lawre...
ICHIT
2009
Springer
14 years 2 months ago
An improved camera identification method based on the texture complexity and the image restoration
The identification of source camera is useful to improve the capability of evidence in the digital image such as distinguish the photographer taking illegal images and adopting di...
Kazuya Matsushita, Hitoshi Kitazawa
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 predeļ¬ned or learned dictionary has received considerable attention in recent ye...
Giovanni Maria Farinella, Sebastiano Battiato
CVPR
2007
IEEE
14 years 6 months ago
Simultaneous Depth Reconstruction and Restoration of Noisy Stereo Images Using Non-local Pixel Distribution
In this paper, we propose a new algorithm that solves both the stereo matching and the image denoising problem simultaneously for a pair of noisy stereo images. Most stereo algorit...
Yong Seok Heo (Seoul National University), Kyoung ...
IJCV
2011
163views more  IJCV 2011»
12 years 11 months ago
Operator Splittings, Bregman Methods and Frame Shrinkage in Image Processing
We examine the underlying structure of popular algorithms for variational methods used in image processing. We focus here on operator splittings and Bregman methods based on a uniļ...
Simon Setzer