A retina based multi-resolution image-fusion

Author

Ghassemian, Hassan

Author_Institution

Dept. of Electr. Eng., Tarbiat Modares Univ., Tehran, Iran

Volume

2

fYear

2001

fDate

2001

Firstpage

709

Abstract

Multiresolution images can be merged more efficiently, by taking into account the multiscale properties of the human vision system. To achieve this goal it is necessary to build a multiscale fusion model, based on the retinal cell photoreceptors. This paper introduces a general issue of this model, and the new application of the model in multispectral image fusion. The proposed method is compared with the HSI, PCA, Brovey, and wavelet, methods. Results show it preserves more spectral features with less spatial distortion

Keywords

geophysical signal processing; geophysical techniques; image processing; image resolution; multidimensional signal processing; sensor fusion; terrain mapping; geophysical measurement technique; image processing; land surface; merged; multi-resolution image fusion; multiresolution image; multiresolution method; multiscale fusion model; multiscale properties; multispectral image fusion; multispectral remote sensing; optical imaging; retina method; retinal cell photoreceptors; sensor fusion; spatial distortion; spectral features; terrain mapping; Humans; Image fusion; Image resolution; Machine vision; Multiresolution analysis; Multispectral imaging; Principal component analysis; Retina; Signal resolution; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-7031-7

Type

conf

DOI

10.1109/IGARSS.2001.976610

Filename

976610