文章基本信息

标题：Improving Quality of Satellite Images Using Enhancement Filters and Fuzzy Based Contrast Enhancement Technique
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作者：Vijay Tonder ; Vivek Shukla ; Rohit Miri 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：5
页码：10754
DOI：10.15680/IJIRCCE.2017.0505140
出版社：S&S Publications
摘要：Image enhancement is a technique to improve the quality of an image. The aim of image enhancementprocess is to improve the interpretability or perception of information in images for human viewers, or to provide betterinput for other automated image processing techniques. In this paper we are presenting different techniques for satelliteimage enhancement. For removal of noise and blur different instinctive procedure suggested in this paper that preprocessespoorly concentrated or degraded satellite images by composing numerous consecutive autonomousprocessing phases which overturn noise, enrich contrast& up turn the clearness of the image and it also lessens the effectof blur and noise. Contrast improvement are being aided by the universal data content of an input image by enlargingthe dynamic variety of intensity levels, utilized by Conversion functions. Certain conversion functions utilize localsubstantial content for modifying image details, such as quality &boundaries. An effective method for improving theimage quality is also introduced, in which a plotting utility, blend of universal and local conversion functions, is utilizedwhich preserves the intensity and fine facts of the input image in addition. Contrast widening and Image intensity ispreserved completely by universal conversion function.Fuzzy based enhancement is also applied to enhance the image.Sharpening filters are used in order to highlight fine details within an image. They are based on first and second orderderivatives. Finally output of each stage is compared by using PSNR parameters.
关键词：Preprocessing; Sa t e l l i t e ima g e s ; Con t r a s t setting; Fuzzyfication; PSNR.