Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Fundamentals of digital image processing
Fundamentals of digital image processing
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multichannel Texture Analysis Using Localized Spatial Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ten lectures on wavelets
Image analysis with two-dimensional continuous wavelet transform
Signal Processing
Multirate systems and filter banks
Multirate systems and filter banks
Two-dimensional directional wavelets and the scale-angle representation
Signal Processing
Spatio-temporal wavelet transforms for digital signal analysis
Signal Processing
Filtering for Texture Classification: A Comparative Study
IEEE Transactions on Pattern Analysis and Machine Intelligence
Subband Compression of Images: Principals and Examples
Subband Compression of Images: Principals and Examples
Signal Processing for Computer Vision
Signal Processing for Computer Vision
An Extended Class of Scale-Invariant and Recursive Scale Space Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
IEEE Transactions on Signal Processing
Optimized signal expansions for sparse representation
IEEE Transactions on Signal Processing
The curvelet transform for image denoising
IEEE Transactions on Image Processing
The finite ridgelet transform for image representation
IEEE Transactions on Image Processing
Optimization of quadrature filters based on the numerical integration of improper integrals
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
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The purpose of this article is to present some of the fundamental principles of filter banks, wavelets and frames and their connections, with special emphasis on applications in computer vision and image processing. This is a vast field and we can only give a glimpse of it. We start with a short historical review and a rather broad discussion of filter banks, wavelets and frames. It is discussed how filter banks and wavelets are connected via multiresolution. Some of the most important structures and properties are presented but hardly no mathematical details are given. We focus especially on directional filter banks and wavelets, on analysis and extraction of directional features in images and image sequences. A system for motion estimation (estimation of optical flow) is presented.