| Paper: | IMDSP-P15.8 | ||
| Session: | Image Restoration and Denoising | ||
| Time: | Friday, May 19, 10:00 - 12:00 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Restoration and Enhancement | ||
| Title: | IMAGE DENOISING IN THE TRANSFORMED DOMAIN USING NON LOCAL NEIGHBORHOODS | ||
| Authors: | Wided Souidene, Télécom Paris, France; Azeddine Beghdadi, L2TI, Univ. Paris13, France; Karim Abed-Meraim, Télécom Paris, France | ||
| Abstract: | In this paper we address a denoising technique based on calculation of non local means through neighborhoods. Non local neighborhoods are computed in a transformed domain, namely the wavelet domain. A noisy image is transformed using a lifting scheme. The wavelet coefficients in each subband image are modelized by a Generalized Gaussian Distribution (GGD) whose parameters (scale and shape parameters) are estimated using an appropriate technique. The estimated parameters are used to define a generalized non local mean which allows us to restore the original image. Processing in the wavelet domain is suitable since image are often available in a compressed domain, beside, processing smaller images allows us to reduce the computational cost. | ||
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