Paper Info
Title
Multiview Image Sequence Enhancement
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.
Year
DOI
Venue
2015
10.1117/12.2083254
IMAGE PROCESSING: ALGORITHMS AND SYSTEMS XIII
Keywords
Field
DocType
multiview, denoising, restoration, sharpness improvement, color matching
Noise reduction,Computer vision,User experience design,Image warping,Visualization,Medical imaging,Computer science,Autostereoscopy,Color correction,View synthesis,Artificial intelligence
Conference
Volume
ISSN
Citations 
9399
0277-786X
0
PageRank 
References 
Authors
0.34
8
4
Name
Order
Citations
PageRank
Ljubomir Jovanov1507.70
Hiêp Luong283.58
Tijana Ružić3353.37
Wilfried Philips4384.99