Multispectral image enhancement based on fusion and super-resolution

Author

Starovoitov, Valery ; Makarau, Aliaksei ; Zakharov, Igor ; Dovnar, Dmitry

Author_Institution

Inst. of Comput. Sci., Univ. of Bialystok, Bialystok, Poland

fYear

2007

fDate

3-7 Sept. 2007

Firstpage

2174

Lastpage

2178

Abstract

A principally new technique for fast fusion of multiresolution satellite images with minimal colour distortion is presented in the paper. This technique allows multispectral image reconstruction with resolution higher than resolution of the panchromatic image. It is based on combination of a method for super-resolution image reconstruction and an algorithm for image fusion based on global regression. Superresolution image reconstruction is based on simultaneous processing of several multispectral images to reconstruct a panchromatic image with higher resolution. This method is near optimal in a minimum mean squared error sense of image restoration.

Keywords

artificial satellites; image colour analysis; image enhancement; image fusion; image resolution; image restoration; mean square error methods; global regression; image fusion; image restoration; mean squared error; minimal colour distortion; multiresolution satellite images; multispectral image enhancement; multispectral image reconstruction; multispectral images; panchromatic image; superresolution image reconstruction; Image color analysis; Image fusion; Image reconstruction; Image restoration; Signal resolution; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference, 2007 15th European

Conference_Location

Poznan

Print_ISBN

978-839-2134-04-6

Type

conf

Filename

7099193