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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/21855

Title: Subjectively optimised multi-exposure and multi-focus image fusion with compensation for camera shake
Authors: Lluis-Gomez, Alexis L.
Saravi, Sara
Edirisinghe, Eran A.
Editors: Schelkens, P
Ebrahimi, T
Cristobal, G
Truchetet, F
Saarikko, P
Keywords: Image Registration
Multi-Exposure Multi-focus Image Fusion
WBCT
CPD
SIFT
RANSAC
Issue Date: 2012
Publisher: © 2012 Society of Photo-Optical Instrumentation Engineers
Citation: LLUIS-GOMEZ, A.L., SARAVI, S. and EDIRISINGHE, E.A., 2012. Subjectively optimised multi-exposure and multi-focus image fusion with compensation for camera shake. Proceedings of SPIE 8436, Optics, Photonics, and Digital Technologies for Multimedia Applications II, 84360Q.
Abstract: Multi-exposure image fusion algorithms are used for enhancing the perceptual quality of an image captured by sensors of limited dynamic range. This is achieved by rendering a single scene based on multiple images captured at different exposure times. Similarly, multi-focus image fusion is used when the limited depth of focus on a selected focus setting of a camera results in parts of an image being out of focus. The solution adopted is to fuse together a number of multi-focus images to create an image that is focused throughout. In this paper we propose a single algorithm that can perform both multi-focus and multi-exposure image fusion. This algorithm is a novel approach in which a set of unregistered multiexposure/focus images is first registered before being fused. The registration of images is done via identifying matching key points in constituent images using Scale Invariant Feature Transforms (SIFT). The RANdom SAmple Consensus (RANSAC) algorithm is used to identify inliers of SIFT key points removing outliers that can cause errors in the registration process. Finally we use the Coherent Point Drift algorithm to register the images, preparing them to be fused in the subsequent fusion stage. For the fusion of images, a novel approach based on an improved version of a Wavelet Based Contourlet Transform (WBCT) is used. The experimental results as follows prove that the proposed algorithm is capable of producing HDR, or multi-focus images by registering and fusing a set of multi-exposure or multi-focus images taken in the presence of camera shake.
Description: One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Version: Published
DOI: 10.1117/12.922712
URI: https://dspace.lboro.ac.uk/2134/21855
Publisher Link: http://dx.doi.org/10.1117/12.922712
ISSN: 0277-786X
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)
Published Articles (Computer Science)

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