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Proceedings Paper

Enhancement of images corrupted with signal dependent noise: application to ultrasonic imaging
Author(s): Mehmet Alper Kutay; Mustafa Karaman; Gozde Bozdagi
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Paper Abstract

An adaptive filter for smoothing images corrupted by signal dependent noise is presented. The filter is mainly developed for speckle suppression in medical B-scan ultrasonic imaging. The filter is based on mean filtering of the image using appropriately shaped and sized local kernels. Each filtering kernel, fitting to the local homogeneous region, is obtained through local statistics based region growing. Performance of the proposed scheme have been tested on a B-scan image of a standard tissue-mimicking ultrasound resolution phantom. The results indicate that the filter effectively reduces the speckle while preserving the resolvable details. The performance figures obtained through computer simulations on the phantom image are presented in a comparative way with some existing speckle suppression schemes.

Paper Details

Date Published: 22 October 1993
PDF: 8 pages
Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); doi: 10.1117/12.157950
Show Author Affiliations
Mehmet Alper Kutay, Bilkent Univ. (Turkey)
Mustafa Karaman, Bilkent Univ. (Turkey)
Gozde Bozdagi, Bilkent Univ. (Turkey)

Published in SPIE Proceedings Vol. 2094:
Visual Communications and Image Processing '93
Barry G. Haskell; Hsueh-Ming Hang, Editor(s)

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