Konferenční příspěvek

Haindl M., Šimberová S.

Proceedings of the Ninth IASTED International Conference on Signal and Image Processing

ACTA Press

Anaheim

2007

978-0-88986-676-8

prof. Ing. Michal Haindl, DrSc. (ÚTIA - Oddělení rozpoznávání obrazů)

image quality criteria, image restoration, degradation model

An information of image quality and / or performance of image restoration methods can be expressed by evaluative criteria. The classical kriteria are used for rather unrealistic image evaluation while the original (undegraded) image is available. More difficult case is in image restoration assessment when the original is unknown. Blind criteria serve as an image quality estimator based on the restored image. Criteria are tested and compared on the synthetic degraded data set (the "ideal" is known) to set out the most appropriate criterium for the real astronomical images. Results are discussed from various points of view of image degradation process including influence of the variable noise.