Title
The design of 2-D nonseparable directional perfect reconstruction filter banks
Abstract
In this paper, we develop a directional 2-D nonseparable filter bank that can perfectly reconstruct the downsampled subband signals. The filter bank represents two powerful image and video processing tools: directional subband decomposition and perfect reconstruction. The directional filter banks consist of (1) the input signal and the subband signals modulation, (2) diamond shape prefilter, and (3) four different parallelogram shape prefilters. This paper addresses the design and implementation of a two-band filter bank that is proved to be able to provide perfect reconstruction of the downsampled subband signals. Finally, we use a conventional 1-D half-band filter as a prototype and then apply the McClellan transform for the specific 2-D diamond shape and parallelogram shape subfilters. This method is extremely simple in designing the analysis/synthesis subfilters for the filter bank.
Year
DOI
Venue
1994
10.1007/BF00980711
Multidimensional Systems and Signal Processing
Keywords
Field
DocType
directional spectrum decomposition,nonseparable directional perfect reconstruction,filter bank,perfect reconstruction,nonseparable
Computer vision,Filter (video),Quadrature mirror filter,Root-raised-cosine filter,Parallelogram,Digital filter,Filter bank,Reconstruction filter,Artificial intelligence,Mathematics,Filter design
Journal
Volume
Issue
ISSN
5
3
1573-0824
Citations 
PageRank 
References 
6
0.57
8
Authors
2
Name
Order
Citations
PageRank
Chen-Chang Lien160.57
Chung-Lin Huang213913.24