Authors:
Yusuke Murayama
;
Pengchang Zhang
and
Ari Ide-Ektessabi
Affiliation:
Kyoto University, Japan
Keyword(s):
Multispectral Image, Spectral Reflectance Recovery, Image Superresolution, Bayesian Estimation, Digital Archiving.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Image Enhancement and Restoration
;
Image Formation and Preprocessing
;
Image Registration
;
Imaging for Cultural Heritage (Modeling/Simulation, Virtual Restoration)
;
Multimodal and Multi-Sensor Models of Image Formation
Abstract:
Acquisition of a multispectral image and analysis of the object based on spectral information recovered from the image has recently received attention in digital archiving of cultural assets. However multispectral imaging faces such problems as long image acquisition time and severe registration between band images. In order to solve them, we have proposed an extended method combining Bayesian image superresolution with spectral reflectance recovery. In this study we evaluated quantitatively the performance of the proposed technique using a typical 6-band multispectral scanner and a Japanese painting. The accuracy of recovered spectral reflectance was investigated with respect to the ratio of the capturing resolution to the recovering resolution. The experimental result indicated that the spatial resolution can be increased by around 1.7 times, which means image capturing time can be reduced almost by one third and besides the angle of view can be extended by 1.7 times.