文章基本信息

标题：Filter for Removal of Impulse Noise By Using Fuzzy Logic
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作者：Dr. Er. Harish Kundra ; Dr. Er. Monika Verma ; Dr. Er. Aashima 等
期刊名称：International Journal of Image Processing (IJIP)
电子版ISSN：1985-2304
出版年度：2009
卷号：3
期号：5
页码：195-202
出版社：Computer Science Journals
摘要：Digital image processing is a subset of the electronic domain wherein the image is converted to an array of small integers, called pixels, representing a physical quantity such as scene radiance, stored in a digital memory, and processed by computer or other digital hardware. Fuzzy logic represents a good mathematical framework to deal with uncertainty of information. Fuzzy image processing [4] is the collection of all approaches that understand, represent and process the images, their segments and features as fuzzy sets. The representation and processing depend on the selected fuzzy technique and on the problem to be solved. This paper combines the features of Image Enhancement and fuzzy logic. This research problem deals with Fuzzy inference system (FIS) which help to take the decision about the pixels of the image under consideration. This paper focuses on the removal of the impulse noise with the preservation of edge sharpness and image details along with improving the contrast of the images which is considered as the one of the most difficult tasks in image processing.
关键词：Digital Image Processing (DIP); Image Enhancement (IE); Fuzzy Logic (FL); Peak-signal-tonoise- ratio (PSNR)