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» Complexity-Regularized Image Denoising
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ICIP
2010
IEEE
13 years 5 months ago
Image quantization under spatial smoothness constraints
Quantization, defined as the act of attributing a finite number of grey-levels to an image, is an essential task in image acquisition and coding. It is also intricately linked to ...
Anna Jezierska, Caroline Chaux, Hugues Talbot, Jea...
SIAMIS
2011
13 years 2 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
ICIP
2006
IEEE
14 years 9 months ago
Digital Image Forensics for Identifying Computer Generated and Digital Camera Images
We describe a digital image forensics technique to distinguish images captured by a digital camera from computer generated images. Our approach is based on the fact that image acq...
Sintayehu Dehnie, Husrev T. Sencar, Nasir D. Memon
ICIP
2001
IEEE
14 years 9 months ago
Approximation-theoretic analysis of translation invariant wavelet expansions
It has been observed from image denoising experiments that translation invariant (TI) wavelet transforms often outperform orthogonal wavelet transforms. This paper compares the tw...
Juan Liu, Pierre Moulin
ICIP
2000
IEEE
14 years 9 months ago
Feature-Preserving Flows: A Stochastic Differential Equation's View
Evolution equations have proven to be useful in tracking fine to coarse features in a single level curve and/or in an image. In this paper, we give a stochastic insight to a speci...
Gozde B. Unal, Hamid Krim, Anthony J. Yezzi