JOURNAL ARTICLE

<title>A Posteriori Image Restoration</title>

John Baird Morton

Year: 1978 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 0149 Pages: 105-106   Publisher: SPIE

Abstract

Two algorithms are developed which address the problem of estimating the magnitude and phase of the optical transfer function associated with a blurred image. The primary focus of the research is on the estimate of the phase of the optical transfer function. Once an estimate of the optical transfer function has been made, the corresponding blurred image is Wiener filtered to estimate the original unblurred image (the object). Results are demonstrated on computer simulated blurs and also on real world blurred imagery.

Keywords:
Image restoration Computer science Optical transfer function Image (mathematics) Computer vision Artificial intelligence Maximum a posteriori estimation Function (biology) Transfer function Focus (optics) A priori and a posteriori Object (grammar) Phase (matter) Image processing Optics Mathematics Physics Maximum likelihood Statistics

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Topics

Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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