Issue No. 05 - May (1974 vol. 23)
A.K. Jain , Department of Electrical Engineering, University of Southern California
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.
Dimensionality reduction, image enhancement, image filtering, image modelling, image representation, image restoration, real time image filtering.
E. Angel, A.K. Jain, "Image Restoration, Modelling, and Reduction of Dimensionality", IEEE Transactions on Computers, vol. 23, no. , pp. 470-476, May 1974, doi:10.1109/T-C.1974.223969