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Multispectral image sharpening using wavelet transform techniques and spatial correlation of edges

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Abstract

Several reported image fusion or sharpening techniques are based on the discrete wavelet transform (DWT). The technique described here uses a pixel-based maximum selection rule to combine respective transform coefficients of lower spatial resolution near-infrared (NIR) and higher spatial resolution panchromatic (pan) imagery to produce a sharpened NIR image. Sharpening assumes a radiometric correlation between the spectral band images. However, there can be poor correlation, including edge contrast reversals (e.g., at soil-vegetation boundaries), between the fused images and, consequently, degraded performance. To improve sharpening, a local area-based correlation technique originally reported for edge comparison with image pyramid fusion is modified for application with the DWT process. Further improvements are obtained by using redundant, shift-invariant implementation of the DWT. Example images demonstrate the improvements in NIR image sharpening with higher resolution pan imagery.
Publication type Conference Paper
Publication Subtype Conference Paper
Title Multispectral image sharpening using wavelet transform techniques and spatial correlation of edges
Volume 4049
Year Published 2000
Language English
Publisher Society of Photo-Optical Instrumentation Engineers
Publisher location Bellingham, WA, United States
Larger Work Title Proceedings of SPIE - The International Society for Optical Engineering
First page 522
Last page 531
Conference Title Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI
Conference Location Orlando, FL, USA
Conference Date 24 April 2000 through 26 April 2000
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