NDLI: An enhanced decision based algorithm for the reduction of high density salt and pepper noise with reduced streaks

Content Provider	IEEE Xplore Digital Library
Author	Tena, J. Vasanth, K. Indhumathi, G.
Copyright Year	2014
Description	Author affiliation: Dept. of E.E.E, Sathyabama Univ., Chennai, India (Vasanth, K.) \|\| Dept. of E.C.E, Sathyabama Univ., Chennai, India (Tena, J.; Indhumathi, G.)
Abstract	An enhanced decision based algorithm for the removal of high density salt and pepper noise with reduced streaking is proposed. A fixed 3×3 window is kept constant for the increasing noise densities. The processed pixel detects salt and pepper noise using the max-min pixel value of the current processing window. If the processed pixel lies between both maximum and minimum value then the processed pixel is termed as noisy. Under high noise densities the algorithm replaces the corrupted pixel with unsymmetrical trimmed median or midpoint or the neighborhood preprocessed pixel or trimmed global mean based on the decision tree formulated. if the processed pixel is termed as uncorrupted, it is left unaltered. The proposed algorithm (PA) is tested on different varying detail images. The proposed algorithm is compared with the standard and recently proposed algorithms and found to give good results both qualitative and quantitatively for increasing noise densities. The proposed algorithm eliminates salt and pepper noise at high noise densities and preserves fine details of an image. The proposed algorithm was compared with DBA, IDBA exclusively to show them that the algorithm eliminates salt and pepper noise with reduced streaking even at high noise densities.
Starting Page	1
Ending Page	6
File Size	2272742
Page Count	6
File Format	PDF
e-ISBN	9781479923205
DOI	10.1109/ECS.2014.6892609
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-02-13
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision based median filters Streak Reduction Radiation detectors Noise Parallel processing Unsymmetrical trimmed filter Arrays Salt and pepper noise
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

An improved decision based asymmetric trimmed median filter for removal of high density salt and pepper.

AN ITERATIVE UNSYMMETRICAL TRIMMED MIDPOINT-MEDIAN FILTER FOR REMOVAL OF HIGH DENSITY SALT AND PEPPER NOISE Jitender Kumar

High Density Salt and Pepper Noise Reduction in Color Images

Removal of High Density Salt and Pepper Noise Through Modified Decision Based Unsymmetric Trimmed Median Filter

Removal of high density salt and pepper noise using neighborhood based switching filter

High density salt and pepper noise removal through decision based partial trimmed global mean filter

Decision Based Unsymmetric Trimmed Median Filter

Decision based unsymmetrical trimmed median filter.

Removal of high density salt and pepper noise through modified decision based unsymmetric trimmed median filter.

An enhanced decision based algorithm for the reduction of high density salt and pepper noise with reduced streaks

Similar Documents

An improved decision based asymmetric trimmed median filter for removal of high density salt and pepper.

AN ITERATIVE UNSYMMETRICAL TRIMMED MIDPOINT-MEDIAN FILTER FOR REMOVAL OF HIGH DENSITY SALT AND PEPPER NOISE Jitender Kumar

High Density Salt and Pepper Noise Reduction in Color Images

Removal of High Density Salt and Pepper Noise Through Modified Decision Based Unsymmetric Trimmed Median Filter

Removal of high density salt and pepper noise using neighborhood based switching filter

High density salt and pepper noise removal through decision based partial trimmed global mean filter

Decision Based Unsymmetric Trimmed Median Filter

Decision based unsymmetrical trimmed median filter.

Removal of high density salt and pepper noise through modified decision based unsymmetric trimmed median filter.

An enhanced decision based algorithm for the reduction of high density salt and pepper noise with reduced streaks