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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.

Additional Publication Details

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
Number of Pages:
10
Conference Title:
Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI
Conference Location:
Orlando, FL, USA
Conference Date:
24 April 2000 through 26 April 2000