NDLI: A New Kind of Hybrid Filter Based on the ICM and the Improved Extremum-and-Median Filter

Content Provider	IEEE Xplore Digital Library
Author	Zhang Xiang-guang
Copyright Year	2008
Description	Author affiliation: Inst. of Inf., Qingdao Univ. of Sci. & Technol., Qingdao (Zhang Xiang-guang)
Abstract	Intersecting Cortical Model (ICM) has gained widely research as a new artificial neural network. It derives directly from the studies of the small mammal's visual cortex. The improved Extremum-and-Median algorithms can only process the extremum area of image sufficiently. But the image that is non-extremun area, the effect of the improved Extremum-and-Median filter is inadequate. To overcome this shortage, this paper suggests a kind of designing project of the hybrid filter that applied the ideas of the ICM and the improved Extremum-and-Median filter. The theory analysis and the simulation experiments of the image processing indicate that this kind of filter can not only remove noise effectively but also keep the details of the image sufficiently.
Sponsorship	Int. Assoc. Comput. Sci. Inf. Technol.
Starting Page	890
Ending Page	893
File Size	315173
Page Count	4
File Format	PDF
ISBN	9780769535043
DOI	10.1109/ICCEE.2008.103
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-20
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Extremum-and-Median filter Nonlinear filter Image processing Digital images Information filtering Biological neural networks Multi-layer neural network Analytical models Image analysis Intersecting Cortical Model Brain modeling Information filters Protection Median filter
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

A New Kind of Hybrid Filter Based on the ICM and the Peak-and-Valley Filter

A New Kind of Hybrid Filter Based on the ICM and the Improved Peak-and-Valley Filter

A New Kind of Hybrid Filter Based on the Peak-and-Valley Filter and PCNN

Cellular neural network based weighted median filter for real time image processing

A New Kind of Super-Resolution Reconstruction Algorithm Based on the ICM and the Bilinear Interpolation

A new kind of hybrid filter based on the intersecting cortical model and the improved Extremum-and-Median filter

Neural Network Adaptive Switching Median Filter for Image Denoising

Improved rank conditioned median filter for removal of impulse noise from images

A nonlinear digital filter using multi-layered neural networks

A New Kind of Hybrid Filter Based on the ICM and the Improved Extremum-and-Median Filter

Similar Documents

A New Kind of Hybrid Filter Based on the ICM and the Peak-and-Valley Filter

A New Kind of Hybrid Filter Based on the ICM and the Improved Peak-and-Valley Filter

A New Kind of Hybrid Filter Based on the Peak-and-Valley Filter and PCNN

Cellular neural network based weighted median filter for real time image processing

A New Kind of Super-Resolution Reconstruction Algorithm Based on the ICM and the Bilinear Interpolation

A new kind of hybrid filter based on the intersecting cortical model and the improved Extremum-and-Median filter

Neural Network Adaptive Switching Median Filter for Image Denoising

Improved rank conditioned median filter for removal of impulse noise from images

A nonlinear digital filter using multi-layered neural networks

A New Kind of Hybrid Filter Based on the ICM and the Improved Extremum-and-Median Filter