High Dynamic Range Video Synthesis Using Superpixel-Based Illuminance-Invariant Motion Estimation

IEEE Access

Tu Van Vo¹  Chul Lee² 

[1] Department of Computer Engineering, Pukyong National University, Busan, South Korea;Department of Multimedia Engineering, Dongguk University, Seoul, South Korea;

关键词: High dynamic range (HDR) video synthesis;    HDR imaging;    motion estimation;   

DOI  :  10.1109/ACCESS.2020.2970857

来源: DOAJ

【 摘 要 】

We propose a robust high dynamic range (HDR) video synthesis algorithm using the superpixel-based illuminance-invariant motion estimation technique. The proposed algorithm first selects an input frame in an alternating exposed input video as the reference. Then, the correspondences between two adjacent frames are estimated by employing a feature descriptor, which is robust against illuminance variation, and a superpixel segmentation technique. Next, the input frames are warped to the reference frame using the estimated motion maps. Finally, the final HDR frame is synthesized by constructing a weight map, which can handle complex motions and poor exposures by considering the underlying structures in the input frames. Experimental results on real test sequences show that the proposed algorithm can provide high-quality HDR videos compared with those obtained by state-of-the-art algorithms in terms of both subjective and objective evaluations.

【 授权许可】

Unknown