2nd International ICST Conference on Immersive Telecommunications

Research Article

Characterization of image distortions in multi-camera systems

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  • @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
Mashhour Solh1,*, Ghassan AlRegib1,*
  • 1: School of Electrical and Computer Engineering, Georgia Institute of Technology
*Contact email: msolh@ece.gatech.edu, gregib@ece.gatech.edu

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.