Pyramid median filtering by block threshold decomposition

Hongbing Zhou; Bing Zeng; Yrjo A. Neuvo

doi:10.1117/12.44311

1 April 1991 Pyramid median filtering by block threshold decomposition

Hongbing Zhou, Bing Zeng, Yrjo A. Neuvo

Proceedings Volume 1451, Nonlinear Image Processing II; (1991) https://doi.org/10.1117/12.44311
Event: Electronic Imaging '91, 1991, San Jose, CA, United States

Abstract

In this paper, we first introduce the block threshold decomposition (BTD) which can be regarded as a compact form of standard threshold decomposition. The proposed BTD will produce multilevel threshold signals and applies to both discrete and continuous valued signals. Based on BTD, we then introduce a new digital filtering approach, the pyramid median filtering, which consists of a group of median filters, each operating on a BTD signal, and whose window masks form some kind of a pyramid. According to prior knowledge or estimates of the detail distributions and noise characteristics in the received signal or image, it is possible to choose the form of pyramid in order to best accomplish the task at hand. Some properties of the pyramid median filters are analyzed. Application of them to image restoration in impulsive noise shows that this approach provides a better performance than standard median filters.

Citation Download Citation

Hongbing Zhou, Bing Zeng, and Yrjo A. Neuvo "Pyramid median filtering by block threshold decomposition", Proc. SPIE 1451, Nonlinear Image Processing II, (1 April 1991); https://doi.org/10.1117/12.44311

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