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Proceedings Paper

Ghost-free high-dynamic range imaging using layered exposed images based on local histogram equalization
Author(s): Jaehyun Im; Hyuncheol Kim; Taekyung Kim; Sanghoon Lee; Jongsue Bae; Joonki Paik
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Paper Abstract

In this paper, we present a novel high dynamic range (HDR) imaging method using a single input image. Conventional multiple image-based HDR methods are successful only on condition that there is no motion in the scene during the acquisition of multiple, differently exposed low dynamic range (LDR) images. If these constraints are not satisfied, a ghost artifact is produced in the resulting HDR image. In order to overcome these limitations, we generate multiple, differently exposed LDR images from a single input image. We call these multiple images a set of layered exposed (LE) images. In order to generate an appropriate set of LE images, the proposed method divides input image into 9 subregions and computes local mean in each subregion to estimate the minimum and maximum local mean. The estimated local means become ranges of histogram equalization (HE). HDR image is generated by fusing differently exposed LE images. More specifically, given a set of LE images, we perform weighted fusion to produce the resulting HDR image, which is inherently free from ghost artifacts since all LE images are geometrically identical. Experimental results show that the proposed method outperforms the existing algorithms in the sense of both removing ghost artifacts and enhancement of image contrast.

Paper Details

Date Published: 7 May 2012
PDF: 7 pages
Proc. SPIE 8399, Visual Information Processing XXI, 83990I (7 May 2012); doi: 10.1117/12.920589
Show Author Affiliations
Jaehyun Im, Chung-Ang Univ. (Korea, Republic of)
Hyuncheol Kim, Chung-Ang Univ. (Korea, Republic of)
Taekyung Kim, Chung-Ang Univ. (Korea, Republic of)
Sanghoon Lee, Hanwha Corp. (Korea, Republic of)
Jongsue Bae, Hanwha Corp. (Korea, Republic of)
Joonki Paik, Chung-Ang Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 8399:
Visual Information Processing XXI
Mark Allen Neifeld; Amit Ashok, Editor(s)

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