A high-resolution image reconstruction algorithm previously used to improve undersampled infrared airborne imagery was applied to two different sets of digital microscopy images. One set is that of medical pap smear images, and the second set contains metallurgical micrographs. Both the pap smear images and the metallurgical micrographs are undersampled, thus causing loss of detail and aliasing artifacts. The algorithm minimizes the effects of aliasing and restores detail unobtainable through simple interpolation techniques. Both applications demonstrate improvement by use of the image reconstruction algorithm.
© 1999 Optical Society of America
(100.3010) Image processing : Image reconstruction techniques
Original Manuscript: June 16, 1998
Revised Manuscript: November 30, 1998
Published: April 10, 1999
Frank O. Baxley and Russell C. Hardie, "Application of multiframe high-resolution image reconstruction to digital microscopy," Appl. Opt. 38, 2263-2269 (1999)