Enhancement of images corrupted with signal dependent noise: Application to ultrasonic imaging

Date
1993-11
Advisor
Instructor
Source Title
Proceedings of SPIE - Visual Communications and Image Processing'93
Print ISSN
0277-786X
Electronic ISSN
Publisher
Volume
Issue
Pages
316 - 323
Language
English
Type
Conference Paper
Journal Title
Journal ISSN
Volume Title
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 iippression schemes.

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Book Title
Keywords
B-scan images, Filtering kernel, Homogeneous regions, Local statistics, Phantom images, Region growing, Signal dependent noise, Speckle suppression, Image processing, Imaging systems, Speckle, Ultrasonic imaging, Visual communication, Computer simulation
Citation
Published Version (Please cite this version)