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Báo cáo hóa học: " Detail-Preserving Restoration of Impulse Noise Corrupted Images by a Switching Median Filter Guided by a Simple Neuro-Fuzzy Network"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Detail-Preserving Restoration of Impulse Noise Corrupted Images by a Switching Median Filter Guided by a Simple Neuro-Fuzzy Network | EURASIP Journal on Applied Signal Processing 2004 16 2451-2461 2004 Hindawi Publishing Corporation Detail-Preserving Restoration of Impulse Noise Corrupted Images by a Switching Median Filter Guided by a Simple Neuro-Fuzzy Network M. Emin Yuksel Digital Signal and Image Processing Laboratory Department of Electronics Engineering Erciyes University Kayseri 38039 Turkey Email yuksel@erciyes.edu.tr Alper Basturk Digital Signal and Image Processing Laboratory Department of Electronics Engineering Erciyes University Kayseri 38039 Turkey Email ab@erciyes.edu.tr Erkan Besdok Department of Photogrammetry Engineering Erciyes University Kayseri 38039 Turkey Email ebesdok@erciyes.edu.tr Received 25 August 2003 Revised 28 December 2003 A new operator for the restoration of digital images corrupted by impulse noise is presented. The proposed operator is a simple recursive switching median filter guided by a neuro-fuzzy network functioning as an impulse detector. The internal parameters of the neuro-fuzzy impulse detector are adaptively optimized by training. The training is easily accomplished by using simple artificial images that can be generated in a computer. The most distinctive feature of the proposed operator over other operators is that it offers excellent detail- and texture-preservation performance while effectively removing noise from the input image. Extensive experiments show that the proposed operator may be used for efficient restoration of digital images corrupted by impulse noise without distorting the useful information in the image. Keywords and phrases image processing noise filtering median filter neuro-fuzzy systems. 1. INTRODUCTION Digital images are valuable and important sources of information in many research and application areas including astronomy biology medicine remote sensing materials science and so on 1 2 . During image acquisition and or transmission digital images are often contaminated by impulse noise due to a number of nonidealities in the