An Iterative-Improvement Approach to the Numerical Solution of Vector Toeplitz Systems
IEEE Transactions on Computers
A Numerical Algorithm for Identifying Spread Functions of Shift-Invariant Imaging Systems
IEEE Transactions on Computers
The Application of Constrained Least Squares Estimation to Image Restoration by Digital Computer
IEEE Transactions on Computers
Real-time correction of intensity nonlinearities in imaging systems
IEEE Transactions on Computers
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This paper is intended as a tutorial review of certain digital image processing transform techniques utilizing the notion of outer product expansions. Examples from Fourier, Walsh, Haar, and other well known transforms are reviewed in the notation of matrix-vector outer products; and implementation of the singular value decomposition (SVD) of large sized images is presented. The use of the SVD as an aid in image restoration utilizing the pseudoinverses is presented. Conditions on the point spread matrix are investigated in the light of singular value decomposition, Kronecker products, and general imaging conditions.