hrvatski jezikClear Cookie - decide language by browser settings

Restoration of images corrupted by mixed Gaussian-impulse noise by iterative soft-hard thresholding

Filipović, Marko; Jukić, Ante (2014) Restoration of images corrupted by mixed Gaussian-impulse noise by iterative soft-hard thresholding. In: Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), 2014. pp. 1637-1641 .

PDF - Accepted Version
Download (229kB) | Preview


We address the problem of restoration of images which have been affected by impulse or a combination of impulse and Gaussian noise. We propose a patch-based approach that exploits approximate sparse representations of image patches in learned dictionaries. For every patch, sparse representation in a dictionary is enforced by l1 -norm penalty, and sparsity of the residual is enforced by l0 -quasi-norm penalty. The obtained non-convex problem is solved iteratively by a combination of soft and hard thresholding, and a proof of convergence to a local minimum is given. Experimental evaluation suggests that the proposed approach can produce state-of-the-art results for some types of images, especially in terms of the structural similarity (SSIM) measure. In addition, the proposed iterative thresholding algorithm could possibly be applied to general inverse problems.

Item Type: Conference or workshop item published in conference proceedings (UNSPECIFIED)
Uncontrolled Keywords: Denoising; Impulse Noise; Sparse Representation; Dictionary; Thresholding
Subjects: NATURAL SCIENCES > Mathematics > Applied Mathematics and Mathematical Modeling
Divisions: Division of Laser and Atomic Research and Development
Depositing User: Marko Filipović
Date Deposited: 12 May 2015 10:39

Actions (login required)

View Item View Item


Downloads per month over past year

Increase Font
Decrease Font
Dyslexic Font