A new adaptive regression type of image destriping method is introduced to reconstruct missing lines in multispectral images. 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 mutually competing adaptive regression models from which the locally optimal predictor is selected.

Reconstruction (acm I.4.5)
Spatial processes (msc 62M30), Image processing (msc 68U10)
Department of Computer Science [CS]

Haindl, M. (1995). An adaptive image reconstruction method. Department of Computer Science [CS]. CWI.