NDLI: Image filtering by dynamic KCS

Content Provider	IEEE Xplore Digital Library
Author	Mbarki, Z. Ben Braiek, E. Seddik, H. Selmani, A. Tebini, S.
Copyright Year	2013
Abstract	Through the past decades, several studies have expressed the need to improve image quality to reduce the processing time. For this purpose, several mathematical tools have been developed such as image filtering by a convolution filter, such as the Gaussian filter or kernel with compact support (KCS) which has been recently proposed by Remaki and Cheriet [1] .The effectiveness of this filter in the smoothing operation depends on the value of the scale parameter. Moreover, if the scale parameter is increased, the image is blurred and details and borders are removed. This disadvantage is related to the static nature of the KCS kernel. In this paper we propose a dynamic and adaptive KCS filter based on neural networks. The scale parameters involved in the filtering process are calculated in real time and supervised by the neural network. The filter scale varies continuously in order to detect and clean noisy areas of the image. To assess the developed theory, an application of filtering noisy image s is presented, including a qualitative comparison between the result obtained by the static KCS and the adaptive KCS kernel proposed.
Sponsorship	IEEE Instrum. Meas. Soc.
Starting Page	1
Ending Page	6
File Size	1069756
Page Count	6
File Format	PDF
ISBN	9781467364591
e-ISBN	9781467364577
e-ISBN	9781467364584
DOI	10.1109/SSD.2013.6564038
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-03-18
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	PSNR Gaussian kernel Neural networks Filtering algorithms dynamic and adaptive KCS filter Filtering theory Kernel static KCS
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 Libarray 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

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