Research Article
Characterization of image distortions in multi-camera systems
@INPROCEEDINGS{10.4108/immerscom.2009.14, author={Mashhour Solh and Ghassan AlRegib}, title={Characterization of image distortions in multi-camera systems}, proceedings={2nd International ICST Conference on Immersive Telecommunications}, publisher={ICST}, proceedings_a={IMMERSCOM}, year={2010}, month={5}, keywords={Image quality Multi-Camera system Geometric distortion Photometric distortion Structural similarity}, doi={10.4108/immerscom.2009.14} }- Mashhour Solh
Ghassan AlRegib
Year: 2010
Characterization of image distortions in multi-camera systems
IMMERSCOM
ICST
DOI: 10.4108/immerscom.2009.14
Abstract
Multi-camera systems have been evolving as next generation video cameras with applications including 3D reconstruction, image-based rendering, free viewpoint, and 3D TV. Quantifying visual quality of multi-camera systems is fundamental in developing these applications. In this paper, image distortion types in multi-camera systems are investigated where distortion is classified as either geometric or photometric. Examples and measurements are presented showing that single-view objective image quality measures are not adequate for perceptual assessment of multi-camera images. A new algorithm that characterizes the type of distortion in a given image captured by a multi-camera system is proposed and evaluated. The new algorithm is based on the edge intensity summation (EIS). A new EIS-based structural similarity (EISSM) quality measure is proposed. EISSM is shown to capture the perceptual fidelity that is not fully grasped by PSNR and SSIM.