16 February 2016 Multiview video quality enhancement
Author Affiliations +
Abstract
Realistic visualization is crucial for a more intuitive representation of complex data, medical imaging, simulation, and entertainment systems. In this respect, multiview autostereoscopic displays are a great step toward achieving the complete immersive user experience, although providing high-quality content for these types of displays is still a great challenge. Due to the different characteristics/settings of the cameras in the multiview setup and varying photometric characteristics of the objects in the scene, the same object may have a different appearance in the sequences acquired by the different cameras. Images representing views recorded using different cameras, in practice, have different local noise, color, and sharpness characteristics. View synthesis algorithms introduce artifacts due to errors in disparity estimation/bad occlusion handling or due to an erroneous warping function estimation. If the input multiview images are not of sufficient quality and have mismatching color and sharpness characteristics, these artifacts may become even more disturbing. Accordingly, the main goal of our method is to simultaneously perform multiview image sequence denoising, color correction, and the improvement of sharpness in slightly defocused regions. Results show that the proposed method significantly reduces the amount of the artifacts in multiview video sequences, resulting in a better visual experience.
© 2016 SPIE and IS&T 1017-9909/2016/$25.00 © 2016 SPIE and IS&T
Ljubomir Jovanov, Hiêp Q. Luong, and Wilfried Philips "Multiview video quality enhancement," Journal of Electronic Imaging 25(1), 013031 (16 February 2016). https://doi.org/10.1117/1.JEI.25.1.013031
Published: 16 February 2016
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Video

Cameras

Denoising

Image segmentation

Wavelets

Motion estimation

Visualization

RELATED CONTENT

Multiview image sequence enhancement
Proceedings of SPIE (March 16 2015)
Error-resilient video compression
Proceedings of SPIE (November 22 1999)
Challenges in 3DTV image processing
Proceedings of SPIE (January 29 2007)
Predictive video decoding using GME and motion reliability
Proceedings of SPIE (September 24 2011)
Wavelet-based denoising using local Laplace prior
Proceedings of SPIE (September 20 2007)

Back to Top