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Wavelet-Based Homomorphic De-Speckling Technique With Directional Weighted-Averaging Stage | ||
| Al-Rafidain Engineering Journal (AREJ) | ||
| Article 6, Volume 17, Issue 5, 2009, Pages 32-43 PDF (0 K) | ||
| DOI: 10.33899/rengj.2009.43380 | ||
| Author | ||
| Jassim M. Abdul-Jabbar | ||
| Abstract | ||
| Abstract In this paper, a new homomorphic wavelet-based de-speckling technique is proposed. The technique combines a spatial domain processing with another transform domain processing in a homomorphic environment. The spatial domain nonlinear processing is based on replacing each log-transformed pixel value of the speckled image by a weighted-average of the log-transformed pixel values in the neighborhood of that pixel. The weighted averaged log-transformed image is then subjected to wavelet thresholding for further nonlinear transform domain processing. An exponential operation on the filtered output is used to simulate the final homomorphic antilog-transformation stage and to obtain the de-speckled image. Quantitative and qualitative measures prove the superiority of the proposed technique for the applications of image classification and recognition in ultrasonic and SAR systems. Keywords: Speckle noise, homomorphic environment, weighted-average, wavelet thresholding | ||
| Keywords | ||
| KEYWORDS; homomorphic environment; Weighted; average; wavelet thresholding | ||
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