2 August 2018 Phase-based frame rate up-conversion for depth video
Lunan Zhou, Rui Sun, Xiang Tian, Yaowu Chen
Author Affiliations +
Abstract
Due to the limits of frame rate sampling like time-of-flight and transmission bandwidth constraints of depth video, depth frame rate up-conversion is imperative. Most researches interpolate the depth frames using the motion information of the texture images, which require well-rectified images. They usually find dense correspondences to synthesize an in-between frame. Estimating the correspondences is sensitive to occlusion, disocclusion, and color or luminance changes. This paper proposes a phase-based method to interpolate depth frames without explicitly finding correspondences. Combining top-down phase difference preservation and bottom-up phase difference correction, varying amounts of motions are well modeled in a complex-steerable pyramid decomposition. The pixel amplitude is also shifted and interpolated based on the phase information. Finally, a depth value correction is employed to correct the inaccurate depth value. Experimental results show that the depth video interpolated by our proposed approach provides better subjective and objective qualities.
© 2018 SPIE and IS&T 1017-9909/2018/$25.00 © 2018 SPIE and IS&T
Lunan Zhou, Rui Sun, Xiang Tian, and Yaowu Chen "Phase-based frame rate up-conversion for depth video," Journal of Electronic Imaging 27(4), 043036 (2 August 2018). https://doi.org/10.1117/1.JEI.27.4.043036
Received: 19 April 2018; Accepted: 16 July 2018; Published: 2 August 2018
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CITATIONS
Cited by 4 scholarly publications and 1 patent.
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KEYWORDS
Video

Video acceleration

Optical flow

Diffusion

Motion estimation

Phase shifting

3D displays

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