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

Mehmet Alper Kutay; Mustafa Karaman; Gozde Bozdagi

doi:10.1117/12.157950

22 October 1993 Enhancement of images corrupted with signal dependent noise: application to ultrasonic imaging

Mehmet Alper Kutay, Mustafa Karaman, Gozde Bozdagi

Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157950
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

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.

Citation Download Citation

Mehmet Alper Kutay, Mustafa Karaman, and Gozde Bozdagi "Enhancement of images corrupted with signal dependent noise: application to ultrasonic imaging", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157950

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