Title :
Image Restoration, Modelling, and Reduction of Dimensionality
Author :
Jain, Anil K. ; Angel, Edward
Author_Institution :
Department of Electrical Engineering, University of Southern California
fDate :
5/1/1974 12:00:00 AM
Abstract :
Recursive restoration of two-dimensional noisy images gives dimensionality problems leading to large storage and computation time requirements on a digital computer. This paper shows a two-dimensional second-order Markov process representation can be used for fast recursive restoration of images with small storage requirements. Advantages of this method over existing techniques are illustrated by means of examples.
Keywords :
Dimensionality reduction, image enhancement, image filtering, image modelling, image representation, image restoration, real time image filtering.; Autocorrelation; Batteries; Equations; Filtering; Filters; Image restoration; Image storage; Law; Legal factors; Markov processes; Dimensionality reduction, image enhancement, image filtering, image modelling, image representation, image restoration, real time image filtering.;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/T-C.1974.223969
