Resolution enhancement of imaging small-scale portions in a compactly supported function.
The ambiguity involved in reconstructing an image from limited Fourier data is removed using a new technique that incorporates prior knowledge of the location of regions containing small-scale features of interest. The prior discrete Fourier transform (PDFT) method for image reconstruction incorporates prior knowledge of the support, and perhaps general shape, of the object function being reconstructed through the use of a weight function. The new approach extends the PDFT by allowing different weight functions to modulate the different spatial frequency components of the reconstructed image. The effectiveness of the new method is tested on one- and two-dimensional simulations.
Shieh
Hsin M
HM
Department of Electrical Engineering, Feng Chia University, 100 Wenhwa Rd., Seatwen, Taichung, Taiwan 40724, China. hmshieh@fcu.edu.tw
Hsu
Yu-Ching
YC
Byrne
Charles L
CL
Fiddy
Michael A
MA
D000465:Algorithms; D001185:Artificial Intelligence; D003952:Diagnostic Imaging / Q000379:methods; D005583:Fourier Analysis; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D015233:Models, Statistical; D008962:Models, Theoretical; D055095:Optics and Photonics; D010363:Pattern Recognition, Automated / Q000379:methods