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

Alessandro Artusi; Zhuo Su; Zongwei Zhang; Dimitris Drikakis; Xiaonan Luo

doi:10.1016/j.cag.2014.08.002

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

Alessandro Artusi, Zhuo Su, Zongwei Zhang, Dimitris Drikakis, Xiaonan Luo

Faculty Of Engineering

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

75 Downloads (Pure)

Abstract

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.

Original language	English
Pages (from-to)	51-63
Number of pages	13
Journal	Computers and Graphics
Volume	45
Early online date	21 Sep 2014
DOIs	https://doi.org/10.1016/j.cag.2014.08.002
Publication status	Published - 1 Dec 2014

Keywords

high dynamic range imaging
tone mapping
edge aware techniques
multiscale
wavelet
high order interpolation

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10.1016/j.cag.2014.08.002

Artusi-etal-CAG-2014-High-order-wavelet-reconstruction-for-multi-scale-edgeAccepted author manuscript, 74.1 MBLicence: CC BY-NC-ND 4.0

Cite this

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abstract = "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.",

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AU - Artusi, Alessandro

AU - Su, Zhuo

AU - Zhang, Zongwei

AU - Drikakis, Dimitris

AU - Luo, Xiaonan

PY - 2014/12/1

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AB - 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.

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JF - Computers and Graphics

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

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Keywords

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