Defocus Blur Restoration Using Shift-Invariant Wavelet Transform
| Autor: | Tetsuo Miyake, Akio Miwa, Zhang Zhong, Hisanaga Fujiwara |
|---|---|
| Rok vydání: | 2007 |
| Předmět: |
Discrete wavelet transform
Deblurring Computer science business.industry Second-generation wavelet transform Stationary wavelet transform ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform Computer Science Applications Wavelet packet decomposition Computer Science::Graphics Wavelet Computer Science::Computer Vision and Pattern Recognition Media Technology Computer vision Artificial intelligence Electrical and Electronic Engineering business Continuous wavelet transform ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | The Journal of The Institute of Image Information and Television Engineers. 61:963-971 |
| ISSN: | 1881-6908 1342-6907 |
| Popis: | We restore a blurred image caused by defocus of a lens using the shift-invariant wavelet transform created using RI-Spline wavelets.In a defocus blurred image,the blurring kernel varies depending on its position in the image,so a positional frequency representation,such as a wavelet space,is required in order to deblur it.To restore the defocus blur,we assume that the blurring kernel can be obtained regardless of its position in an image.In experiments we conducted using synthesized images,our method using the shift-invariant wavelet transform showed better deblurring performance than that of the ordinary wavelet transform.We also show that our method can be applied to real images if additional range data is used. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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