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TIP
2011
106views more  TIP 2011»
12 years 11 months ago
Practical Bounds on Image Denoising: From Estimation to Information
—Recently, in a previous work, we proposed a way to bound how well any given image can be denoised. The bound was computed directly from the noise-free image that was assumed to ...
Priyam Chatterjee, Peyman Milanfar
ICIP
2010
IEEE
13 years 2 months ago
Learning denoising bounds for noisy images
In [1], we derived an expression for the fundamental limit to image denoising assuming that the noise-free image is available. In this paper, we propose an estimator for the bound...
Priyam Chatterjee, Peyman Milanfar
PAMI
2008
181views more  PAMI 2008»
13 years 4 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...
ICVGIP
2008
13 years 6 months ago
Adaptive Nonlinear Image Denoising and Restoration Using a Cooperative Bayesian Estimation Approach
A novel nonlinear cooperative approach to image denoising and restoration is presented. Samples from the image field with similar characteristics are first grouped into clusters b...
Akshaya Kumar Mishra, Alexander Wong, David A. Cla...
ICASSP
2010
IEEE
13 years 5 months ago
Fundamental limits of image denoising: Are we there yet?
In this paper, we study the fundamental performance limits of image denoising where the aim is to recover the original image from its noisy observation. Our study is based on a ge...
Priyam Chatterjee, Peyman Milanfar