Now showing items 1-5 of 5
Geometric Methods for Wavelet-Based Image Compression
Natural images can be viewed as combinations of smooth regions, textures, and geometry. Wavelet-based image coders, such as the space-frequency quantization (SFQ) algorithm, provide reasonably efficient representations for ...
Multiscale Geometric Image Processing
Since their introduction a little more than 10 years ago, wavelets have revolutionized image processing. Wavelet based algorithms define the state-of-the-art for applications including image coding (JPEG2000), restoration, ...
Approximation and Compression of Piecewise Smooth Images Using a Wavelet/Wedgelet Geometric Model
Inherent to photograph-like images are two types of structures: large smooth regions and geometrically smooth edge contours separating those regions. Over the past years, efficient representations and algorithms have been ...
A Geometric Hidden Markov Tree Wavelet Model
In the last few years, it has become apparent that traditional wavelet-based image processing algorithms and models have significant shortcomings in their treatment of edge contours. The standard modeling paradigm exploits ...
Phase and Magnitude Perceptual Sensitivities in Nonredundant Complex Wavelet Representations
The recent development of a nonredundant complex wavelet transform allows a novel framework for image analysis. Work on this representation has recognized that the phase and magnitude of complex coefficients can be related ...