An efficient multiple exposure image fusion in JPEG domain

In this paper, we describe a method to fuse multiple images taken with varying exposure times in the JPEG domain. The proposed algorithm finds its application in HDR image acquisition and image stabilization for hand-held devices like mobile phones, music players with cameras, digital cameras etc. I...

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Main Authors: Hebbalaguppe, Ramya., Kakarala, Ramakrishna.
Other Authors: School of Computer Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/99101
http://hdl.handle.net/10220/12685
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-991012020-05-28T07:17:35Z An efficient multiple exposure image fusion in JPEG domain Hebbalaguppe, Ramya. Kakarala, Ramakrishna. School of Computer Engineering Digital Photography (8th : 2012 : Burlingame, USA) In this paper, we describe a method to fuse multiple images taken with varying exposure times in the JPEG domain. The proposed algorithm finds its application in HDR image acquisition and image stabilization for hand-held devices like mobile phones, music players with cameras, digital cameras etc. Image acquisition at low light typically results in blurry and noisy images for hand-held camera's. Altering camera settings like ISO sensitivity, exposure times and aperture for low light image capture results in noise amplification, motion blur and reduction of depth-of-field respectively. The purpose of fusing multiple exposures is to combine the sharp details of the shorter exposure images with high signal-to-noise-ratio (SNR) of the longer exposure images. The algorithm requires only a single pass over all images, making it efficient. It comprises of - sigmoidal boosting of shorter exposed images, image fusion, artifact removal and saturation detection. Algorithm does not need more memory than a single JPEG macro block to be kept in memory making it feasible to be implemented as the part of a digital cameras hardware image processing engine. The Artifact removal step reuses the JPEGs built-in frequency analysis and hence benefits from the considerable optimization and design experience that is available for JPEG. Published Version 2013-08-01T01:28:23Z 2019-12-06T20:03:24Z 2013-08-01T01:28:23Z 2019-12-06T20:03:24Z 2012 2012 Conference Paper Hebbalaguppe, R., & Kakarala, R. (2012). An efficient multiple exposure image fusion in JPEG domain. Proceedings of SPIE - Digital Photography VIII, 82990H. https://hdl.handle.net/10356/99101 http://hdl.handle.net/10220/12685 10.1117/12.907899 en © 2012 SPIE. This paper was published in Proceedings of SPIE - Digital Photography VIII and is made available as an electronic reprint (preprint) with permission of SPIE. The paper can be found at the following official DOI: [http://dx.doi.org/10.1117/12.907899]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
description In this paper, we describe a method to fuse multiple images taken with varying exposure times in the JPEG domain. The proposed algorithm finds its application in HDR image acquisition and image stabilization for hand-held devices like mobile phones, music players with cameras, digital cameras etc. Image acquisition at low light typically results in blurry and noisy images for hand-held camera's. Altering camera settings like ISO sensitivity, exposure times and aperture for low light image capture results in noise amplification, motion blur and reduction of depth-of-field respectively. The purpose of fusing multiple exposures is to combine the sharp details of the shorter exposure images with high signal-to-noise-ratio (SNR) of the longer exposure images. The algorithm requires only a single pass over all images, making it efficient. It comprises of - sigmoidal boosting of shorter exposed images, image fusion, artifact removal and saturation detection. Algorithm does not need more memory than a single JPEG macro block to be kept in memory making it feasible to be implemented as the part of a digital cameras hardware image processing engine. The Artifact removal step reuses the JPEGs built-in frequency analysis and hence benefits from the considerable optimization and design experience that is available for JPEG.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Hebbalaguppe, Ramya.
Kakarala, Ramakrishna.
format Conference or Workshop Item
author Hebbalaguppe, Ramya.
Kakarala, Ramakrishna.
spellingShingle Hebbalaguppe, Ramya.
Kakarala, Ramakrishna.
An efficient multiple exposure image fusion in JPEG domain
author_sort Hebbalaguppe, Ramya.
title An efficient multiple exposure image fusion in JPEG domain
title_short An efficient multiple exposure image fusion in JPEG domain
title_full An efficient multiple exposure image fusion in JPEG domain
title_fullStr An efficient multiple exposure image fusion in JPEG domain
title_full_unstemmed An efficient multiple exposure image fusion in JPEG domain
title_sort efficient multiple exposure image fusion in jpeg domain
publishDate 2013
url https://hdl.handle.net/10356/99101
http://hdl.handle.net/10220/12685
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