Digital Image Restoration
Generalized Wiener Filtering Computation Techniques
IEEE Transactions on Computers
The Application of Constrained Least Squares Estimation to Image Restoration by Digital Computer
IEEE Transactions on Computers
Noisy image restoration by cost function minimization
Pattern Recognition Letters
Hi-index | 14.98 |
New computational techniques for pseudoinverse and Wiener image restoration are presented. These techniques are based upon the modification of an observed image array so that the numerical model for the image blur contains a circulant matrix blur operator. Utilization of Fourier transform processing techniques then permits scalar computation, as contrasted to vector computation required for standard processing. Several image restoration examples are given.