Now showing items 1-6 of 6
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 ...
Image Compression using Multiscale Geometric Edge Models
Edges are of particular interest for image compression, as they communicate important information, contribute large amounts of high-frequency energy, and can generally be described with few parameters. Many of today's most ...
Image Compression using an Efficient Edge Cartoon + Texture Model
(IEEE Computer Society, 2002-04-01)
Wavelet-based image coders optimally represent smooth regions and isolated point singularities. However, wavelet coders are less adept at representing perceptually important edge singularities, and coding performance ...
Geometric Tools for Image Compression
Images typically contain strong geometric features, such as edges, that impose a structure on pixel values and wavelet coefficients. Modeling the joint coherent behavior of wavelet coefficients is difficult, and standard ...
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 ...
Rate-Distortion Optimized Image Compression using Wedgelets
Most wavelet-based image coders fail to model the joint coherent behavior of wavelet coefficients near edges. Wedgelets offer a convenient parameterization for the edges in an image, but they have yet to yield a viable ...