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Multiexposure Image Fusion Using Homomorphic Filtering and Detail Enhancement

Authors:
Hui-Chun Tsai
Jin-Jang Leou
Han-Hui Hsiao

Keywords: low dynamic range (LDR) image; high dynamic range (HDR) image; tone mapping; homomorphic filtering; multiexposure image fusion

Abstract:
In this study, a multiexposure image fusion approach using homomorphic filtering and detail enhancement is proposed. First, the N input low dynamic range (LDR) RGB color images are transformed into the HSI color space. Intensity enhancement is achieved by homomorphic filtering, gamma correction is used to compensate the nonlinear response of display devices, and “cross-image” median filtering is used to generate the reference intensity image. Guided filtering and weighted least squares (WLS) optimization are used to perform local and global detail extractions on the N processed LDR images, respectively. The N weighting maps of the N processed LDR images are estimated by spatial and cross-image consistencies and then refined by cross bilateral filtering. Finally, the multiresulution spline based scheme is used to perform multiexposure image fusion. Based on the experimental results obtained in this study, the performance of the proposed approach is better than those of four comparison approaches.

Pages: 14 to 19

Copyright: Copyright (c) IARIA, 2014

Publication date: February 23, 2014

Published in: conference

ISSN: 2308-4448

ISBN: 978-1-61208-320-9

Location: Nice, France

Dates: from February 23, 2014 to February 27, 2014