Most modern methods of image processing exploit a priori knowledge or estimates of noise type and its characteristics obtained in blind or interactive manner. However, the results of noise type blind determination can be false with some hopefully rather small probability. Similarly, the obtained estimates of noise parameters are characterized by certain accuracy. Clearly, false decisions and errors of estimates influence performance of image processing techniques that exploit the information on noise properties obtained in a blind manner. In this paper, we consider some aspects of such influence for several typical applications.

Date Published: 28 September 2009
PDF: 12 pages
Proc. SPIE 7477, Image and Signal Processing for Remote Sensing XV, 74770B (28 September 2009);

Published in SPIE Proceedings Vol. 7477:
Image and Signal Processing for Remote Sensing XV
Lorenzo Bruzzone; Claudia Notarnicola; Francesco Posa, Editor(s)