Using wavelet fusion approach at panchromatic imagery to achieve dynamic range compression

Hung-Sen Wan; Chau-Yun Hsu; Yuan Hung Hsu

doi:10.1117/12.798914

10 October 2008 Using wavelet fusion approach at panchromatic imagery to achieve dynamic range compression

Hung-Sen Wan, Chau-Yun Hsu, Yuan Hung Hsu

Proceedings Volume 7109, Image and Signal Processing for Remote Sensing XIV; 71090Z (2008) https://doi.org/10.1117/12.798914
Event: SPIE Remote Sensing, 2008, Cardiff, Wales, United Kingdom

Abstract

The image fusion technique is to maximize the information in images at same area or object taken by different sensors. It enhances unapparent features at each image and wildly applied at remote sensing, medical image, machine vision, and military identification. In remote sensing, the latest sensors usually provide 11-bit panchromatic data which compose more radiometric information; however the standard visual equipment can only produce 8-bit resolution content that limits the analysis of imagery on the screen or paper. This paper shows how to preserve the original 11-bit information after the DRA (Dynamic Range Adjustment) approaches and keep the output from color distortion during the following pan/multi-spectrum image fusion process. We propose a good dynamic range compression method converting the original IKONOS panchromatic image into high, low luminance and typical linear stretched images and using wavelet fusion to enhance the radiometric visualization and keeping good correlation with the multi-spectrum images in order to produce fine pan-sharpened product.

Citation Download Citation

Hung-Sen Wan, Chau-Yun Hsu, and Yuan Hung Hsu "Using wavelet fusion approach at panchromatic imagery to achieve dynamic range compression", Proc. SPIE 7109, Image and Signal Processing for Remote Sensing XIV, 71090Z (10 October 2008); https://doi.org/10.1117/12.798914

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KEYWORDS

Image fusion

Image processing

Wavelets

Image enhancement

Image compression

Image segmentation

Visualization

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