An interpolation method based on two-step approach model for bad point in Bayer color image
| Autor: | Shi Zhan, Pan Xiaodong, Wang Yongsheng, Ma Kai, Liu Wenbin |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Color histogram
Physics::Instrumentation and Detectors Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Bilinear interpolation 02 engineering and technology Computer Science::Multimedia Color depth 0202 electrical engineering electronic engineering information engineering Image scaling Computer vision ComputingMethodologies_COMPUTERGRAPHICS Bayer filter Demosaicing Pixel business.industry Color image Color co-site sampling Computer Science::Computer Vision and Pattern Recognition High color RGB color model 020201 artificial intelligence & image processing Color filter array Artificial intelligence business Interpolation |
| Zdroj: | 2016 2nd IEEE International Conference on Computer and Communications (ICCC). |
| Popis: | For the charge coupled device camera that adopts Bayer color filter array can only record single channel information of gray value from red, green or blue; it has to estimate the others by using the method of interpolation to achieve the process of color reduction. In order to improve the quality of images, it needs to modify the bad pixels before color reduction. In this article, it proposed an interpolation method based on two-step approach model for bad pixels in Bayer color image. It firstly modified the four neighboring pixels which in the same channel with the bad pixel, and then calculate the gray value of bad pixel by using bilinear interpolation method. Through this method, it made a better use of the information of pixels near the bad pixel, and effectively improved the accuracy of estimation for bad pixels. |
| Databáze: | OpenAIRE |
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