Multiview image sequence enhancement

Ljubomir Jovanov; Hiêp Luong; Tijana Ružic; Wilfried Philips

doi:10.1117/12.2083254

16 March 2015 Multiview image sequence enhancement

Ljubomir Jovanov, Hiêp Luong, Tijana Ružic, Wilfried Philips

Proceedings Volume 9399, Image Processing: Algorithms and Systems XIII; 93990K (2015) https://doi.org/10.1117/12.2083254
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

Realistic visualization is crucial for more intuitive representation of complex data, medical imaging, simulation and entertainment systems. Multiview autostereoscopic displays are great step towards achieving complete immersive user experience. However, providing high quality content for this type of displays is still a great challenge. Due to the different characteristics/settings of the cameras in the multivew setup and varying photometric characteristics of the objects in the scene, the same object may have 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 artefacts due to errors in disparity estimation/bad occlusion handling or due to erroneous warping function estimation. If the input multivew images are not of sufficient quality and have mismatching color and sharpness characteristics, these artifacts may become even more disturbing. The main goal of our method is to simultaneously perform multiview image sequence denoising, color correction and the improvement of sharpness in slightly blurred regions. Results show that the proposed method significantly reduces the amount of the artefacts in multiview video sequences resulting in a better visual experience.

Citation Download Citation

Ljubomir Jovanov, Hiêp Luong, Tijana Ružic, and Wilfried Philips "Multiview image sequence enhancement", Proc. SPIE 9399, Image Processing: Algorithms and Systems XIII, 93990K (16 March 2015); https://doi.org/10.1117/12.2083254

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