Multiresolution-Based Pansharpening in Spectral Color Images

Video in TIB AV-Portal: Multiresolution-Based Pansharpening in Spectral Color Images

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Formal Metadata

Title
Multiresolution-Based Pansharpening in Spectral Color Images
Title of Series
Part Number
40
Number of Parts
43
Author
Kohonen, Oili
License
CC Attribution - NoDerivatives 2.0 UK: England & Wales:
You are free to use, copy, distribute and transmit the work or content in unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
River Valley TV
Release Date
2011
Language
English
Production Place
Joensuu, Finland

Content Metadata

Subject Area
Abstract
This work examines the spectrum preserving properties of a multi-resolution analysisbased intensity modulation (MRAIM) when used for increasing the spatial resolution of spectral color images. The MRAIM algorithm is originally designed to fuse high-resolution panchromatic images with low-resolution spectral images in order to get high-resolution spectral images for remote sensing applications. Instead of panchromatic images, for which the MRAIM algorithm has originally been designed for, the MRAIM algorithm is implemented to use information from both grayscale and RGB color images. In order to utilize the information of the three channels included in RGB images, two different models are derived and examined. In addition, two kind of scaling factors are used for compensating possible differences between the images acquired at different resolution levels. The resulting high resolution spectral images are compared to the real acquired high resolution spectral images with respect to both maximum and average RMS errors and ΔE*ab color differences under CIE illuminants D65, A, F8 and F11. The used images are acquired by NuanceFX spectral imaging system, which allows the measuring of both spectral and RGB images at different resolution levels at identical geometry.
Keywords
The 5th European Conference on Colour in Graphics, Imaging
Vision and the 12th International Symposium on Multispectral Colour Science
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Timings

  322 ms - page object

Version

AV-Portal 3.12.0 (3a2599d676b25753609baac9def5622401886a53)
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