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

Autori
Filipović, Marko ; Jukić, Ante

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), 2014 / - , 2014, 1637-1641

Skup
22nd European Signal Processing Conference (EUSIPCO 2014)

Mjesto i datum
Lisabon, Portugal, 01.09.2014. - 05.09.2014

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Denoising ; Impulse Noise ; Sparse Representation ; Dictionary ; Thresholding

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Matematika

POVEZANOST RADA