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Optical Engineering

Graphic-processing-unit-accelerated real-time exposure fusion method using pixel-level optimal exposure criterion
Author(s): Jun Zhang; Shiqiang Hu
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Paper Abstract

High dynamic range (HDR) imaging is an important and challenging research topic in computational photography. A simple but effective image fusion method is proposed to accomplish the multi-exposure image composition in both static and dynamic scenes. The foundation of the proposed method is an experiential criterion that optimizes the exposure that occurs at a dramatic alteration point in the low dynamic range image sequence (LDRI). To extract these well-exposed pixel vectors, each pixel curve formed by the pixel vectors at same position along all frames in the LDRIs is first preprocessed by the chord length parameterization. Then a single high-quality pseudo-HDR image can be extracted directly and efficiently from the LDRIs using a pixel-level fusion index matrix derived from the first- and second-order difference quotients of the preprocessed pixel curves. The main advantage of the proposed method is its use of a single independent pixel in computing. It is highly parallel, allowing a graphic processing unit-based, real-time implementation. The experiments on various scenes discussed here indicate that the proposed exposure fusion method can combine a large image sequence with 10 megapixels into a visually compelling pseudo-HDR image at a rate of 30  frames/s on a consumer hardware.

Paper Details

Date Published: 18 May 2012
PDF: 11 pages
Opt. Eng. 51(7) 071404 doi: 10.1117/1.OE.51.7.071404
Published in: Optical Engineering Volume 51, Issue 7
Show Author Affiliations
Jun Zhang, Shanghai Jiao Tong Univ. (China)
Shiqiang Hu, Shanghai Jiao Tong Univ. (China)

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