Title :
An adaptive image line reconstruction method
Author :
M. Haindl;S. Simberova
Author_Institution :
Centre for Math. & Comput. Sci., Amsterdam, Netherlands
Abstract :
A new adaptive regression type of image destriping method is introduced to reconstruct failed lines in multispectral image data. The method uses available information from the failed pixel surrounding due to spectral and spatial correlation of multispectral data. The reconstruction is based on two competing adaptive regression models from which the locally optimal predictor is selected.
Keywords :
"Reconstruction algorithms","Detectors","Image reconstruction","Mathematics","Computer science","Multispectral imaging","Predictive models","Charge coupled devices","Charge-coupled image sensors","Radar detection"
Conference_Titel :
Pattern Recognition, 1994. Vol. 3 - Conference C: Signal Processing, Proceedings of the 12th IAPR International Conference on
Print_ISBN :
0-8186-6275-1
DOI :
10.1109/ICPR.1994.577144
