NDLI: Anisotropic diffusion for image filtering based on MDL and morphology

Content Provider	IEEE Xplore Digital Library
Author	Yi Wang Liangpei Zhang Pingxiang Li Yindi Zhao
Copyright Year	2005
Description	Author affiliation: Wuhan Univ., China (Yi Wang; Liangpei Zhang; Pingxiang Li; Yindi Zhao)
Abstract	Summary form only given. Anisotropic diffusion (AD) has been employed as an effective approach for image filtering. A great deal of work has been dedicated to the improvements of this technique. However, these efforts still left some difficulties unsolved. The first one is to estimate accurately image gradients in noisy images for nonlinear diffusion implementation; the second one is to design adaptively a setting of the gradient threshold in the diffusion coefficient. In order to overcome these limitations, a nonlinear AD algorithm is presented. In a first step, a time-dependent local Gaussian scale selection based on minimal description length criterion (MDL) is developed, smoothing an image by convolving appropriately with the locally optimal Gaussian scale chosen to better recognize the image contour gradients. An adaptive strategy based on morphology is then built for the setting of gradient threshold according to local noise characteristics. Using the relationship between robust statistics and AD, we established the new version of the diffusion coefficient based on the above improvements. The proposed method not only effectively removes Gaussian noise and impulsive noise caused by sensors, but also preferably preserves important detailed edges and image quality. Experimental results are given to show that the proposed method has superiority capability over the previous AD schemes on visual judgment and quality statistical analysis.
Sponsorship	Hokkaido Univ. Graduate Sch. of Inf. Sci. and Technol. Hokkaido Univ. 21st Century COE Program IEEE Circuits and Syst. Soc. IEEE Sapporo Sect
File Size	92751
File Format	PDF
ISBN	0780390644
DOI	10.1109/NSIP.2005.1502211
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-05-18
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image sensors Anisotropic magnetoresistance Smoothing methods Image recognition Filtering Gaussian noise Morphology Sensor phenomena and characterization Noise robustness Statistics
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