NDLI: Texture and edge preserving multiframe super-resolution

Content Provider	IET Digital Library
Author	Turgay, Emre Akar, Gozde B.
Abstract	Super-resolution (SR) image reconstruction refers to methods where a higher resolution image is reconstructed using a set of overlapping aliased low-resolution observations of the same scene. Although edge preservation has been a widely explored topic in SR literature, texture-specific regularisation has recently gained interest. In this study, texture-specific regularisation is handled as a post-processing step. A two stage method is proposed, comprising multiple SR reconstructions with different regularisation parameters followed by a restoration step for preserving edges and textures. In the first stage, two maximum-a-posteriori estimators with two different amounts of regularisation are employed. In the second stage, pixel-to-pixel difference between these two estimates is post-processed to restore edges and textures. Frequency selective characteristics of discrete cosine transform and Gabor filters are utilised in the post-processing step. Experiments on synthetically generated images and real experiments demonstrate that the proposed methods give better results compared with the state-of-the-art SR methods especially on textures and edges.
Starting Page	499
Ending Page	508
Page Count	10
ISSN	17519659
Volume Number	8
e-ISSN	17519667
Issue Number	Issue 9, Sep (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/8/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2013.0342
Journal	IET Image Processing
Publisher Date	2014-04-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Discrete Cosine Transform Edge Preservation Edge Preserving Multiframe Super Resolution Filtering Method in Signal Processing Frequency Selective Characteristic Gabor Filter Gabor Fllters Graphics Technique Image Reconstruction Image Resolution Image Texture Integral Transforms Maximum Likelihood Estimation Maximum-a-posteriori Estimators Multiple SR Reconstruction Optical, Image And Video Signal Processing Overlapping Aliased Low-resolution Observation Pixel-to-pixel Difference Post-processing Step Regularisation Parameter Restoration Step SR Literature Statistics Super Resolution Image Reconstruction Texture Preserving Multiframe Super Resolution Texture-speciflc Regularisation Two Stage Method
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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

Multiframe super-resolution based on a high-order spatially weighted regularisation

Texture preserving multi frame super resolution with spatially varying image prior

Stroke width-based directional total variation regularisation for document image super resolution

Neighborhood regression for edge-preserving image super-resolution

Directionally adaptive super-resolution

Multi-frame image super resolution using spatially weighted total variation regularisations

Sparse representation based multi-frame image super-resolution reconstruction using adaptive weighted features

Super-resolution reconstruction: using non-local structure similarity and edge sharpness dictionary

A High-Efficiency Super-Resolution Reconstruction Algorithm from Image/Video Sequences

Texture and edge preserving multiframe super-resolution

Similar Documents

Multiframe super-resolution based on a high-order spatially weighted regularisation

Texture preserving multi frame super resolution with spatially varying image prior

Stroke width-based directional total variation regularisation for document image super resolution

Neighborhood regression for edge-preserving image super-resolution

Directionally adaptive super-resolution

Multi-frame image super resolution using spatially weighted total variation regularisations

Sparse representation based multi-frame image super-resolution reconstruction using adaptive weighted features

Super-resolution reconstruction: using non-local structure similarity and edge sharpness dictionary

A High-Efficiency Super-Resolution Reconstruction Algorithm from Image/Video Sequences

Texture and edge preserving multiframe super-resolution