Abstract
Two-dimensional (2-D) filter banks are widely used for analysis and synthesis systems applied to subband coding of image. Time-varying filter banks that vary the structure of them appropriately for a local property of the signal have been studied for image data compression. In time-varying filter banks, each different part of the signal is processed with different filter coefficients or a different number of channels (a different sampling matrix). Those signals have to be perfectly reconstructed even across the transition of the filter banks. We consider time-varying systems of cosine-modulated 2-D filter banks for arbitrary sampling lattices. We show perfect reconstruction (PR) conditions for such time-varying filter banks that vary the filter coefficients or a sampling matrix. Some applications are presented to show the effectiveness of this method.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
