Rank order filtering on bit-serial mesh-connected computers

Hongchi Shi; Hongzheng Li

doi:10.1117/12.253460

8 October 1996 Rank order filtering on bit-serial mesh-connected computers

Hongchi Shi, Hongzheng Li

Proceedings Volume 2823, Statistical and Stochastic Methods for Image Processing; (1996) https://doi.org/10.1117/12.253460
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

Rank order filters have a wide variety of applications in image processing as an effective tool for removing noise in images without severely distorting abrupt changes in the images. The k-th rank filter with an m X m window sets each pixel the k-th smallest value of the m² pixels in its m X m neighborhood. The median filter is the most commonly used special case of rank order filters. Rank order filtering requires intensive computation. In this paper, we consider implementation of rank order filters on bit-serial mesh-connected computers such as the Lockheed Martin CISP computer. We design rank filtering algorithms using the threshold decomposition and radix splitting techniques, and present some experimental results of the implementation of those algorithms on the CISP computer.

Citation Download Citation

Hongchi Shi and Hongzheng Li "Rank order filtering on bit-serial mesh-connected computers", Proc. SPIE 2823, Statistical and Stochastic Methods for Image Processing, (8 October 1996); https://doi.org/10.1117/12.253460

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