Now showing items 1-6 of 6
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 ...
On The Problem of Simultaneous Encoding of Magnitude and Location Information
Modern image coders balance bitrate used for encoding the location of signicant transform coefficients, and bitrate used for coding their values. The importance of balancing location and value information in practical ...
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 ...
Multiscale Wedgelet Image Analysis: Fast Decompositions and Modeling
The most perceptually important features in images are geometrical, the most prevalent being the smooth contours ("edges") that separate different homogeneous regions and delineate distinct objects. Although wavelet based ...
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 ...