A New Infrared Image Magnification and Enhancement Method Based on Wavelet Transform
| Autor: | Zhao You Sun, Wen Sheng Guo, Xi Jun Wang, Feng Chen |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
business.industry
Wavelet transform Magnification Top-hat transform General Medicine Edge (geometry) Image (mathematics) Linear extension Computer Science::Computer Vision and Pattern Recognition Computer vision Artificial intelligence business Image restoration Mathematics Feature detection (computer vision) |
| Zdroj: | Applied Mechanics and Materials. :238-243 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.198-199.238 |
| Popis: | The traditional image magnify method usually have some defects on details. This paper gives a new infrared image magnification and enhancement method which is based on wavelet reconstruction and gradation segment. In this method, first of all, make wavelet transform on the image, get the high-frequency coefficient. Apply the Newton differential algorithm enhance the high-frequency coefficient as the high-frequency part of the magnified image, treat the original image as the low-frequency part , make the wavelet reconstruction ,then get the magnified image. To enhance the magnified image, according to the double gray threshold, segment the image into high gray segment corresponding to target, low gray segment corresponding to background, and middle gray segment corresponding to transition sector. Then, make linear extension to them respectively; the result is the magnified image. Experiments indicate, this method is effective on distinguishing high-energy target from low-energy target (the low-energy target is the primary one) and displaying the details of image(edge profile of the bomb). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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