An improved infrared image enhancement algorithm based on multi-scale decomposition
| Autor: | Xin-rong Yu, Qing-hai Ding, Haibo Luo, Honghui Zhang |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Spatial filter
Anisotropic diffusion business.industry Binary image Iterative reconstruction Filter (signal processing) Image (mathematics) Computer Science::Computer Vision and Pattern Recognition Computer vision Artificial intelligence business Algorithm Image restoration Feature detection (computer vision) Mathematics |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| Popis: | Due to the restriction of infrared imaging component and the radiation of atmosphere, infrared images are discontented with image contrast, blurry, large yawp. Aimed on these problems, a multi-scale image enhancement algorithm is proposed. The main principle is as follows: firstly, On the basis of the multi-scale image decomposition, We use an edge-preserving spatial filter that instead of the Gaussion filter proposed in the original version, adjust the scale-dependent factor With a weighted information. Secondly, contrast is equalized by applying nonlinear amplification. Thirdly, subband image is the weighted sum of sampled subband image and subsampled then upsampled subband image by a factor of two. Finally, Image reconstruction was applied. Experiment results show that the proposed method can enhance the original infrared image effectively and improve the contrast, moreover, it also can reserve the details and edges of the image well. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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