Paper
7 September 2010 Image restoration of nonuniformly illuminated images with camera microscanning
Author Affiliations +
Abstract
Various techniques for image recovery from degraded observed images were proposed. Most of the methods deal with linear degradations and carry out signal processing using a single observed image. In this paper multiplicative, additive, and impulsive image degradations are investigated. We propose restoration algorithms based on three observed degraded images obtained from a microscanning camera. It is assumed that degraded images contain information about an original image, illumination function, and noise. Using three degraded images and mathematical model of degradation a set of equations is formed. By solving the system of equations with the help of an iterative algorithm the original image is recovered.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. L. López-Martínez and Vitaly Kober "Image restoration of nonuniformly illuminated images with camera microscanning", Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 77982D (7 September 2010); https://doi.org/10.1117/12.860026
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image restoration

Cameras

Sensors

Image enhancement

Image sensors

Computer simulations

Bismuth

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