使用模糊技术对低对比度图像进行K增强

2015 International Conference on Signal Processing and Communication Engineering Systems Pub Date : 2015-03-12 DOI:10.1109/SPACES.2015.7058267

G. Sudhavani, M. Srilakshmi, S. Sravani, P. Rao

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引用次数: 10

摘要

大多数图像，如医学图像、卫星图像甚至现实生活中的照片，可能会因为图像获取过程中照明不足或不足而导致对比度差。因此，有必要对图像进行对比度增强。针对低对比度灰度图像，提出了基于模糊规则的对比度增强、基于增强算子的对比度增强和基于模糊期望值的对比度增强三种增强技术。利用模糊度指数(IOF)和处理时间对这些增强技术进行对比分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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K enhancement of low contrast images using fuzzy techniques

Most of images like medical images, satellite images and even real life photographs may suffer from poor contrast due to the inadequate or insufficient lighting during image acquiring. So there is a necessity of contrast enhancement of images. In this paper three enhancement techniques namely fuzzy rule based contrast enhancement, contrast enhancement using intensification (INT) operator, and contrast enhancement using fuzzy expected value (FEV) are presented for the low contrast grayscale images. Comparative analysis of these enhancement techniques is carried out by means of index of fuzziness (IOF) and processing time.

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2015 International Conference on Signal Processing and Communication Engineering Systems

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