A new multiresolution generalized directional filter bank design and application in image enhancement

TitleA new multiresolution generalized directional filter bank design and application in image enhancement
Publication TypeConference Papers
Year of Publication2008
AuthorsPatel VM, Easley GR, Healy DM
Conference Name15th IEEE International Conference on Image Processing, 2008. ICIP 2008
Date Published2008/10//
PublisherIEEE
ISBN Number978-1-4244-1765-0
KeywordsAlgorithm design and analysis, Approximation error, Channel bank filters, contourlet transform, Design methodology, Discrete transforms, Feature extraction, Filter bank, Frequency, geometric feature extraction, Image Enhancement, IMAGE PROCESSING, image resolution, image restoration, Multidimensional digital filters, Multidimensional systems, multiresolution generalized directional filter bank design, shearlet transform, shift-invariant overcomplete representation, transforms, Wavelet transforms
Abstract

In this paper, we present an image enhancement technique based on a new multiscale generalized directional filter bank design. The design presented is a shift-invariant overcomplete representation, which is well suited to extracting geometric features such as edges. Special cases of this design method can be made to reduce to different and improved implementations of the shearlet and the contourlet transforms, which are known to represent certain classes of images optimally. Use of this new filter bank design has proven itself competitive in image restoration for noisy images and is well suited for distinguishing noise from weak edges. Experimental results show that our unique image enhancement technique out-performs wavelet and contourlet based enhancement methods.

DOI10.1109/ICIP.2008.4712380