Multiresolution image representation using combined 2-D and 1-D directional filter banks
IEEE Transactions on Image Processing
Highpass-filtering based adaptive directional wavelet transform
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
A Class of Non-redundant Directional Filter Banks
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Expert Systems with Applications: An International Journal
Adaptive directional wavelet transform based on directional prefiltering
IEEE Transactions on Image Processing
A wavelet-based image denoising using least squares support vector machine
Engineering Applications of Artificial Intelligence
Critically sampled composite wavelets
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Space-time-frequency processing of acoustic wave fields: theory, algorithms, and applications
IEEE Transactions on Signal Processing
Design of regular wavelets using a three-step lifting scheme
IEEE Transactions on Signal Processing
Journal of Mathematical Imaging and Vision
Computers and Electrical Engineering
A reduced-complexity image coding scheme using decision-directed wavelet-based contourlet transform
Journal of Visual Communication and Image Representation
Directional Multiscale Processing of Images Using Wavelets with Composite Dilations
Journal of Mathematical Imaging and Vision
Hi-index | 0.02 |
We propose a new family of nonredundant geometrical image transforms that are based on wavelets and directional filter banks. We convert the wavelet basis functions in the finest scales to a flexible and rich set of directional basis elements by employing directional filter banks, where we form a nonredundant transform family, which exhibits both directional and nondirectional basis functions. We demonstrate the potential of the proposed transforms using nonlinear approximation. In addition, we employ the proposed family in two key image processing applications, image coding and denoising, and show its efficiency for these applications