Title :
Optimal recovery approach to image interpolation
Author :
Muresan, D. ; Parks, Thomas W.
Author_Institution :
Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
fDate :
6/23/1905 12:00:00 AM
Abstract :
We consider the problem of image interpolation from an adaptive optimal recovery point of view. Many different standard interpolation approaches may be viewed through the prism of optimal recovery. We review some standard image interpolation methods and how they relate to optimal recovery as well as introduce a broader, more general and systematic approach to image interpolation using adaptive optimal recovery
Keywords :
adaptive signal processing; image processing; interpolation; learning systems; optimisation; adaptive learning; adaptive optimal image recovery; bicubic interpolation; fractal-based interpolation; image interpolation; interpolation algorithms; local quadratic signal class; minimum Q-norm signal; missing pixels estimation; training vectors; Chebyshev approximation; Computer errors; Ellipsoids; Interpolation; Low pass filters; Nonlinear filters; Pixel; Vectors;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958253
