NDLI: Wavelet-domain color image enhancement using filtered directional bases and frequency-adaptive shrinkage

Content Provider	IEEE Xplore Digital Library
Author	Sangjin Kim Wonseok Kang Eunsung Lee Joonki Paik
Copyright Year	1975
Abstract	This paper presents a novel wavelet-domain color image enhancement using filtered directional bases and frequency-adaptive shrinkage. Most traditional noise reduction methods tend to over-suppress high-frequency details. For overcoming this problem we first decompose the input image into flat and edge regions, and remove noise using the alpha map computed from wavelet transform coefficients of LH, HL, and HH bands. After removing noise in the flat region, we further remove noise in edge regions by adaptively shrinking wavelet coefficients based on the entropy. Moreover, we present a new directional transform using wavelet basis and Gaussian low pass filters. The wavelet coefficients of edge regions are inverse transformed by using the filtered wavelet bases. Experimental results show the proposed algorithm can reduce noise without losing sharp details and is suitable for commercial low-cost imaging systems, such as digital cameras, CCTV, and surveillance system.
Sponsorship	IEEE Consumer Electronics Society
File Size	3017157
File Format	PDF
ISSN	00983063
Volume Number	56
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Color Frequency Noise reduction Wavelet transforms Discrete wavelet transforms Wavelet coefficients Digital cameras Nonlinear filters Low pass filters Image denoising noise reduction, image denoising, wavelet transform, entropy analysis
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Media Technology

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

Moving window-based double haar wavelet transform for image processing

Image and Video Denoising Using Adaptive Dual-Tree Discrete Wavelet Packets

Image Denoising Using Trivariate Shrinkage Filter in the Wavelet Domain and Joint Bilateral Filter in the Spatial Domain

Combined spatial and temporal domain wavelet shrinkage algorithm for video denoising

Noise Reduction Based on Partial-Reference, Dual-Tree Complex Wavelet Transform Shrinkage

The SURE-LET Approach to Image Denoising

Feature-based wavelet shrinkage algorithm for image denoising

Sharpening Dermatological Color Images in the Wavelet Domain

Vaguelette-wavelet decomposition for frequency adaptive image restoration using directional wavelet bases

Wavelet-domain color image enhancement using filtered directional bases and frequency-adaptive shrinkage

Similar Documents

Moving window-based double haar wavelet transform for image processing

Image and Video Denoising Using Adaptive Dual-Tree Discrete Wavelet Packets

Image Denoising Using Trivariate Shrinkage Filter in the Wavelet Domain and Joint Bilateral Filter in the Spatial Domain

Combined spatial and temporal domain wavelet shrinkage algorithm for video denoising

Noise Reduction Based on Partial-Reference, Dual-Tree Complex Wavelet Transform Shrinkage

The SURE-LET Approach to Image Denoising

Feature-based wavelet shrinkage algorithm for image denoising

Sharpening Dermatological Color Images in the Wavelet Domain

Vaguelette-wavelet decomposition for frequency adaptive image restoration using directional wavelet bases

Wavelet-domain color image enhancement using filtered directional bases and frequency-adaptive shrinkage