Patch-Based High Dynamic Range Video

Proceedings of SIGGRAPH Asia 2013

ACM Transactions on Graphics (TOG)
Vol. 32, No. 6, November 2013

     Nima Khademi Kalantari1          Eli Shechtman2          Connelly Barnes2,3          Soheil Darabi2     
     Dan B Goldman2          Pradeep Sen1     

1 University of California, Santa Barbara         2 Adobe         3 University of Virginia      


Despite significant progress in high dynamic range (HDR) imaging over the years, it is still difficult to capture high-quality HDR video with a conventional, off-the-shelf camera. The most practical way to do this is to capture alternating exposures for every LDR frame and then use an alignment method based on optical flow to register the exposures together. However, this results in objectionable artifacts whenever there is complex motion and optical flow fails. To address this problem, we propose a new approach for HDR reconstruction from alternating exposure video sequences that combines the advantages of optical flow and recently introduced patch-based synthesis for HDR images. We use patch-based synthesis to enforce similarity between adjacent frames, increasing temporal continuity. To synthesize visually plausible solutions, we enforce constraints from motion estimation coupled with a search window map that guides the patch-based synthesis. This results in a novel reconstruction algorithm that can produce high-quality HDR videos with a standard camera. Furthermore, our method is able to synthesize plausible texture and motion in fast-moving regions, where either patch-based synthesis or optical flow alone would exhibit artifacts. We present results of our reconstructed HDR video sequences that are superior to those produced by current approaches.

The Video

Patch-Based High Dynamic Range Video

Paper and Additional Materials



author = {Nima Khademi Kalantari and Eli Shechtman and Connelly Barnes and Soheil Darabi

and Dan B Goldman and Pradeep Sen},

title = {{Patch-based High Dynamic Range Video}},

journal = {ACM Transactions on Graphics (TOG) (Proceedings of SIGGRAPH Asia 2013)},

volume = {32},

number = {6},

year = {2013},


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This material is based upon work supported by the National Science Foundation under Grants No. IIS-1342931 and IIS-1321168.

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