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ISBI
2004
IEEE
16 years 5 months ago
Iterative Image Reconstruction in MRI With Separate Magnitude and Phase Regularization
Iterative methods for image reconstruction in MRI are useful in several applications, including reconstruction from non-Cartesian k-space samples, compensation for magnetic field ...
Jeffrey A. Fessler, Douglas C. Noll
SCALESPACE
2007
Springer
15 years 10 months ago
Linear Image Reconstruction by Sobolev Norms on the Bounded Domain
The reconstruction problem is usually formulated as a variational problem in which one searches for that image that minimizes a so called prior (image model) while insisting on cer...
Bart Janssen, Remco Duits, Bart M. ter Haar Romeny
CVPR
2003
IEEE
16 years 6 months ago
Vector-Valued Image Regularization with PDE's : A Common Framework for Different Applications
1 We address the problem of vector-valued image regularization with variational methods and PDE's. From the study of existing formalisms, we propose a unifying framework base...
David Tschumperlé, Rachid Deriche
VCIP
2003
178views Communications» more  VCIP 2003»
15 years 5 months ago
Geometrical image compression with bandelets
This paper introduces a new class of bases, called bandelet bases, which decompose the image along multiscale vectors that are elongated in the direction of a geometric flow. Thi...
Erwan Le Pennec, Stéphane Mallat
FSS
2008
98views more  FSS 2008»
15 years 4 months ago
Fuzzy edge detection for omnidirectional images
The use of omnidirectional vision has increased during these past years. It provides a very large field of view. Nevertheless, omnidirectional images contain significant radial di...
Florence Jacquey, Frederic Comby, Olivier Strauss