Conference PaperImages 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 image coders fail to fully exploit this geometric regularity. We introduce wedgelets as a geometric tool for image compression. Wedgelets offer piecewise-linear approximations of edge contours and can be efficiently encoded. We describe the fundamental challenges that arise when applying such a tool to image compression. To meet these challenges, we also propose an efficient rate-distortion framework for natural image compression using wedgelets.Office of Naval ResearchNational Science FoundationAir Force Of...
It is by now a well-established fact that the usual two-dimensional tensor product wavelet bases are...
10.1109/ICIP.2008.4711709Proceedings - International Conference on Image Processing, ICIP133-13
It is by now a well-established fact that the usual two-dimensional tensor product wavelet bases are...
Conference PaperNatural images can be viewed as combinations of smooth regions, textures, and geomet...
Edges are of particular interest for image compression, as they communicate important information, c...
Conference paperInherent to photograph-like images are two types of structures: large smooth regions...
Since their introduction a little more than 10 years ago, wavelets have revolutionized image process...
Conference PaperMost wavelet-based image coders fail to model the joint coherent behavior of wavelet...
Since their introduction a little more than 10 years ago, wavelets have revolutionized image process...
Abstract — The wavelet transform provides a sparse representation for smooth images, enabling effici...
Conference PaperThe most perceptually important features in images are geometrical, the most prevale...
Conference PaperWavelet-based image coders optimally represent smooth regions and isolated point sin...
Journal PaperThe wavelet transform provides a sparse representation for smooth images, enabling effi...
Journal PaperThe wavelet transform provides a sparse representation for smooth images, enabling effi...
We shall consider the compression of piecewise smooth images. This means images that consist of (rel...
It is by now a well-established fact that the usual two-dimensional tensor product wavelet bases are...
10.1109/ICIP.2008.4711709Proceedings - International Conference on Image Processing, ICIP133-13
It is by now a well-established fact that the usual two-dimensional tensor product wavelet bases are...
Conference PaperNatural images can be viewed as combinations of smooth regions, textures, and geomet...
Edges are of particular interest for image compression, as they communicate important information, c...
Conference paperInherent to photograph-like images are two types of structures: large smooth regions...
Since their introduction a little more than 10 years ago, wavelets have revolutionized image process...
Conference PaperMost wavelet-based image coders fail to model the joint coherent behavior of wavelet...
Since their introduction a little more than 10 years ago, wavelets have revolutionized image process...
Abstract — The wavelet transform provides a sparse representation for smooth images, enabling effici...
Conference PaperThe most perceptually important features in images are geometrical, the most prevale...
Conference PaperWavelet-based image coders optimally represent smooth regions and isolated point sin...
Journal PaperThe wavelet transform provides a sparse representation for smooth images, enabling effi...
Journal PaperThe wavelet transform provides a sparse representation for smooth images, enabling effi...
We shall consider the compression of piecewise smooth images. This means images that consist of (rel...
It is by now a well-established fact that the usual two-dimensional tensor product wavelet bases are...
10.1109/ICIP.2008.4711709Proceedings - International Conference on Image Processing, ICIP133-13
It is by now a well-established fact that the usual two-dimensional tensor product wavelet bases are...