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Domenii publicaţii > Stiinte ingineresti + Tipuri publicaţii > Articol în revistã ştiinţificã
Autori: Isar, A, Moga, S, Isar, D
Editorial: Hindawi Publishing Corporation, EURASIP Journal on Image and Video Processing, 2009, p.173841-52, 2009.
Rezumat:
The SONAR images are perturbed by speckle noise. The use of speckle reduction filters is necessary to optimize the image
exploitation procedures. This paper presents a new denoising method in the wavelet domain, which tends to reduce the speckle,
preserving the structural features and textural information of the scene. Shift-invariance associated with good directional selectivity
is important for the use of a wavelet transform (WT) in many fields of image processing. Generally, complex wavelet transforms,
for example, the Double Tree Complex Wavelet Transform (DT-CWT) have these useful properties. In this paper, we propose the
use of the DT-CWT in association with Maximum A Posteriori (MAP) filters. Such systems carry out different quality denoising
in regions with different homogeneity degree. We propose a solution for the reduction of this unwanted effect based on diversity
enhancement. The corresponding denoising algorithm is simple and fast. Some simulation results prove the performance obtained.
Cuvinte cheie: prelucrarea imaginilor, prelucrarea secventelor video // image processing, video processing