Share Email Print
cover

Proceedings Paper

Image restoration of multiple-frame sequences
Author(s): Ikram E. Abdou
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

One of the most challenging image processing applications is image restoration, which refers to methods for removing various sources of distortion that may have corrupted the ideal image data. Most of the image restoration techniques were developed to process one image at a time, and do not take advantage of the availability of multiple frames of essentially the same scene. More recently, the advancement of image processing hardware allowed us to process a sequence of images at or near frame rate, and new techniques were developed to process multiple frames of images for various applications. In this paper we propose a novel iterative restoration technique based on Kaczmarz's method, that processes a sequence of frames and produces output images with higher resolution and larger signal-to-noise ratio than the input image sequence. The proposed method provides a natural and simple way to improve image resolution by exploiting the relative scene motion from frame to frame. This relative motion can be due to the motion of the imaging platform, and/or motion of objects in the scene. We discuss the first case in some detail, show how to apply the novel iterative method to the problem, and present experiments using real data to demonstrate the algorithm performance.

Paper Details

Date Published: 14 November 1996
PDF: 11 pages
Proc. SPIE 2847, Applications of Digital Image Processing XIX, (14 November 1996); doi: 10.1117/12.258225
Show Author Affiliations
Ikram E. Abdou, SRI International (United States)


Published in SPIE Proceedings Vol. 2847:
Applications of Digital Image Processing XIX
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top