NDLI: Filtering Algorithm for Image with Mixed Noises Based on Vague Sets

Content Provider	IEEE Xplore Digital Library
Author	Bo Wei Xiyu Wang Zhenxi Li
Copyright Year	2013
Description	Author affiliation: Guangxi Key Lab. of Spatial Inf. & Geomatics, Guilin Univ. of Technol., Guilin, China (Bo Wei; Xiyu Wang; Zhenxi Li)
Abstract	Combining with vague sets, a filtering algorithm was proposed to filter mixed noises in image, which was polluted by impulse and Gaussian noises. The proposed filtering algorithm was first to filter impulse noise, and then was to filter Gaussian noise. In impulse noise filter, impulse noise was detected accurately first by homogeneity histogram or homogram and the significant peak detection method of histogram. The homogram was constructed by fuzzy entropy of vague sets. Combining with an adaptive adjusting filtering window method, the detected impulse noise was removed by median filter. In Gaussian noise filter, a fuzzy weighted filter that the weight was determined by similarity measure of vague sets was adopted to reduce Gaussian noise. The experimental results show that the proposed filtering algorithm for mixed noises in images has higher resolution, and can remove mixed impulse and Gaussian noises efficiently while protecting image details.
Sponsorship	IEEE Wuhan Sect.
Starting Page	646
Ending Page	649
File Size	383853
Page Count	4
File Format	PDF
ISBN	9780769551258
DOI	10.1109/CSA.2013.156
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy sets Gaussian noise Mixed noises Image filter Filtering algorithms Impulse noise Filtering theory Vague sets Noise measurement
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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