NDLI: Predicting wavelet coefficients over edges using estimates based on nonlinear approximants

Content Provider	IEEE Xplore Digital Library
Author	Guleryuz, O.G.
Copyright Year	2004
Description	Author affiliation: Epson Palo Alto Lab., CA, USA (Guleryuz, O.G.)
Abstract	It is well-known that wavelet transforms provide sparse decompositions over many types of image regions but not over image singularities/edges that manifest themselves along curves. It is now widely accepted that, on 2D piecewise smooth signals, wavelet compression performance is dominated by coefficients over edges. Research in this area has focused on two tracks, each suffering from issues related to translation invariance. Methods that directly model high order coefficient dependencies over edges have to combat aliasing issues, and new transforms that have been designed lose their full strength if they are not used in a translation invariant fashion. In this paper we combine these approaches and use translation invariant, overcomplete representations to predict wavelet edge coefficients. By starting with the lowest frequency band of an l level wavelet decomposition, we reliably estimate missing higher frequency coefficients over piecewise smooth signals. Unlike existing techniques, our approach does not model edges directly but implicitly obtains boundaries by aggressively determining regions where the utilized translation invariant decomposition is sparse.
Sponsorship	Brandeis Univ
Starting Page	162
Ending Page	171
File Size	410918
Page Count	10
File Format	PDF
ISBN	0769520820
ISSN	10680314
DOI	10.1109/DCC.2004.1281461
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-03-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet coefficients Image coding Frequency estimation Codecs Laboratories Wavelet transforms Data compression Wavelet domain Robustness
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications

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

Predicting Wavelet Coefficients over Edges Using Estimates Based on Nonlinear Approximants (2004)

Watermarking Using the Local Relation of Wavelet Coefficient

Nonlinear wavelet transforms for image coding

Wavelets and image compression

Fast and efficient spatial scalable image compression using wavelet lower trees

Memory-Efficient Image Codec Using Line-based Backward Coding of Wavelet Trees

Video coding based on motion estimation in the wavelet detail images

Compression of functions defined on surfaces of 3D objects

Fractal Image Coding Based on Oriented Wavelet Sub-tree

Predicting wavelet coefficients over edges using estimates based on nonlinear approximants

Similar Documents

Predicting Wavelet Coefficients over Edges Using Estimates Based on Nonlinear Approximants (2004)

Watermarking Using the Local Relation of Wavelet Coefficient

Nonlinear wavelet transforms for image coding

Wavelets and image compression

Fast and efficient spatial scalable image compression using wavelet lower trees

Memory-Efficient Image Codec Using Line-based Backward Coding of Wavelet Trees

Video coding based on motion estimation in the wavelet detail images

Compression of functions defined on surfaces of 3D objects

Fractal Image Coding Based on Oriented Wavelet Sub-tree

Predicting wavelet coefficients over edges using estimates based on nonlinear approximants