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High-order wavelet reconstruction for multi-scale edge aware tone mapping

This paper presents a High Order Reconstruction (HOR) method for improved multi-scale edge aware tone mapping. The study aims to contribute to the improvement of edge-aware techniques for smoothing an input image, while keeping its edges intact. The proposed HOR methods circumvent limitations of the existing state of the art methods, e.g., altering the image structure due to changes in contrast; remove artefacts around edges; as well as reducing computational complexity in terms of implementation and associated computational costs. In particular, the proposed method aims at reducing the changes in the image structure by intrinsically enclosing an edge-stop mechanism whose computational cost is comparable to the state-of-the-art multi-scale edge aware techniques

his work was partially supported by Ministry of Science and Innovation Subprogramme Ramon y Cajal RYC-2011-09372, TIN2013-47276-C6-1-R from Spanish government, 2014 SGR 1232 from Catalan government, NSFC-Guangdong Joint Fund (U1135003), Natural Science Foundation of China (NSFC) (No. 61320106008)

Elsevier

Director: Ministerio de Economía y Competitividad (Espanya)
Generalitat de Catalunya. Agència de Gestió d’Ajuts Universitaris i de Recerca
Ministerio de Ciencia e Innovación (Espanya)
Autor: Artusi, Alessandro
Su, Zhuo
Zhang, Zongwei
Drikakis, Dimitris
Luo, Xiaonan
Data: 1 gener 2014
Resum: This paper presents a High Order Reconstruction (HOR) method for improved multi-scale edge aware tone mapping. The study aims to contribute to the improvement of edge-aware techniques for smoothing an input image, while keeping its edges intact. The proposed HOR methods circumvent limitations of the existing state of the art methods, e.g., altering the image structure due to changes in contrast; remove artefacts around edges; as well as reducing computational complexity in terms of implementation and associated computational costs. In particular, the proposed method aims at reducing the changes in the image structure by intrinsically enclosing an edge-stop mechanism whose computational cost is comparable to the state-of-the-art multi-scale edge aware techniques
his work was partially supported by Ministry of Science and Innovation Subprogramme Ramon y Cajal RYC-2011-09372, TIN2013-47276-C6-1-R from Spanish government, 2014 SGR 1232 from Catalan government, NSFC-Guangdong Joint Fund (U1135003), Natural Science Foundation of China (NSFC) (No. 61320106008)
Format: application/pdf
Accés al document: http://hdl.handle.net/10256/10950
Llenguatge: eng
Editor: Elsevier
Col·lecció: info:eu-repo/semantics/altIdentifier/doi/10.1016/j.cag.2014.08.002
info:eu-repo/semantics/altIdentifier/issn/0097-8493
info:eu-repo/grantAgreement/MINECO//TIN2013-47276-C6-1-R/ES/AVANCES EN CONTENIDOS DIGITALES PARA JUEGOS SERIOS/
AGAUR/2014-2016/2014 SGR-1232
info:eu-repo/grantAgreement/MICINN//RYC-2011-09372/ES/RYC-2011-09372/
Drets: Tots els drets reservats
Matèria: Imatges -- Processament
Image processing
Imatge, Tècniques d’
Imaging systems
Títol: High-order wavelet reconstruction for multi-scale edge aware tone mapping
Tipus: info:eu-repo/semantics/article
Repositori: DUGiDocs

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