9 October 2018 Real-time rolling shutter compensation for a complementary metal-oxide semiconductor image sensor
Author Affiliations +
Abstract
Complementary metal-oxide semiconductor image sensors suffer from undesirable geometric image distortion due to the rolling shutter effect. However, conventional algorithms cannot be used for strict real-time use in mobile devices. An extremely low computational method to compensate rolling shutter effect for the mobile devices is proposed. The proposed method efficiently predicts the rotational camera motion in three-dimensional space from the global motion vectors predicted in two-dimensional image space. Hence, the computational complexity is extremely reduced. To further improve the video quality, the video stabilization to reduce the high-frequency jitter of the camera motion without increasing the complexity is introduced. The results of simulation demonstrate that while the computational complexity is extremely low, the proposed algorithm provides acceptable performance.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2018/$25.00 © 2018 SPIE
Yun Gu Lee "Real-time rolling shutter compensation for a complementary metal-oxide semiconductor image sensor," Optical Engineering 57(10), 100501 (9 October 2018). https://doi.org/10.1117/1.OE.57.10.100501
Received: 25 April 2018; Accepted: 21 September 2018; Published: 9 October 2018
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Video

Camera shutters

Cameras

Image sensors

Motion models

Distortion

Semiconductors

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