Comparison of spectral image reconstruction methods using multipoint spectral measurements
In this paper a novel method is presented as an alternative approach to make use of the spatial information of multipoint spectral data, called piecewise Wiener estimation. Then, we make a comparison of four methods: spectral Wiener, GMDbased, spatio-spectral MAP, and piecewise Wiener estimation algorithms. As a result, it has been found that methods that utilize the location information of each spectral measurement give higher accuracy than others.
Document Type: Research Article
Publication date: January 1, 2008
Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.
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