Paper
7 May 2012 Ghost-free high-dynamic range imaging using layered exposed images based on local histogram equalization
Jaehyun Im, Hyuncheol Kim, Taekyung Kim, Sanghoon Lee, Jongsue Bae, Joonki Paik
Author Affiliations +
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.
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Jaehyun Im, Hyuncheol Kim, Taekyung Kim, Sanghoon Lee, Jongsue Bae, and Joonki Paik "Ghost-free high-dynamic range imaging using layered exposed images based on local histogram equalization", Proc. SPIE 8399, Visual Information Processing XXI, 83990I (7 May 2012); https://doi.org/10.1117/12.920589
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CITATIONS
Cited by 2 patents.
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KEYWORDS
High dynamic range imaging

Image fusion

Cameras

Image contrast enhancement

Range imaging

Image enhancement

Image registration

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