Matrix analysis
Fundamentals of digital image processing
Fundamentals of digital image processing
Iterative greedy algorithm for solving the FIR paraunitary approximation problem
IEEE Transactions on Signal Processing
Theory of optimal orthonormal subband coders
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Multidimensional, paraunitary principal component filter banks
IEEE Transactions on Signal Processing
Theory and design of optimum FIR compaction filters
IEEE Transactions on Signal Processing
FIR principal component filter banks
IEEE Transactions on Signal Processing
Filterbank optimization with convex objectives and the optimalityof principal component forms
IEEE Transactions on Signal Processing
Principal component filter banks for optimal multiresolutionanalysis
IEEE Transactions on Signal Processing
Two-dimensional filter bank design for optimal reconstruction using limited subband information
IEEE Transactions on Image Processing
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We present the design of two dimensional finite impulse response (FIR) signal adapted filter banks for an input signal whose power spectral density is separable. One dimensional FIR filters are designed for each of the separable components using iterative greedy algorithm. The first and last filters in this 2D filter bank are found to be separable and matching closely with ideal ones. The remaining filters are nonseparable and time varying. Since most of the input signal energy is packed in the first subband this design method is useful in optimal representation of images.