Superpixel based patch match for differently exposed images with moving objects and camera movements

Superpixel based patch match for differently exposed images with moving objects and camera movements
Title:
Superpixel based patch match for differently exposed images with moving objects and camera movements
Other Titles:
2015 IEEE International Conference on Image Processing (ICIP)
DOI:
10.1109/ICIP.2015.7351661
Publication Date:
27 September 2015
Citation:
J. Zheng and Z. Li, "Superpixel based patch match for differently exposed images with moving objects and camera movements," Image Processing (ICIP), 2015 IEEE International Conference on, Quebec City, QC, 2015, pp. 4516-4520. doi: 10.1109/ICIP.2015.7351661
Abstract:
A challenging problem for high dynamic range (HDR) imaging is to reconstruct a ghosting-free HDR image for an HDR scene with moving objects. In this paper, a superpixel based patch match algorithm is proposed to synchronize differently exposed images with moving objects and camera movements according to a selected reference image. The concept of superpixel is adopted to divide the reference image into atomic regions, and a new bilateral weight is introduced for the computation of matching cost to reduce outliers. All the input images are synchronized by using the estimated optical flow. The synchronized images are further refined via a weighted guided image filter with the reference image as the guidance image. Experimental results show that the proposed algorithm can remove the scene variations in the presence of moving objects and camera movements. A ghost-free HDR image can then be reconstructed for differently exposed images with moving objects and camera movement by using an existing exposure fusion algorithm.
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Funding Info:
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(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
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