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IMAGE DEBLURRING METHOD BASED ON BRIGHT FRINGE INFORMATION IN IMAGE

机译:基于图像亮条纹信息的图像去噪方法

摘要

Disclosed is an image deblurring method based on bright fringe information in an image. By means of bright fringes existing in a motion blur image, shape information about a blurring kernel is obtained. By means of combining the image with the blurring kernel, image restoration is constrained, and an accurate blurring kernel and a high-quality restored image are obtained. The method specifically comprises: selecting an optimal image block including optimal bright fringes; extracting obtained shape information about a blurring kernel; estimating the blurring kernel to obtain a final blurring kernel; and performing non-blind deconvolution, and performing restoration to obtain a clear restored image as a final deblurred image. According to the present invention, a test set of actually shot blurring images including bright fringes is established. By means of the technical solution of the present invention, an accurate blurring kernel and a high-quality restored image can be obtained, and the application value is high in the field of image processing.
机译:公开了一种基于图像中的亮条纹信息的图像去模糊方法。通过运动模糊图像中存在的亮条纹,获得关于模糊核的形状信息。通过将图像与模糊核结合,可以限制图像的复原,从而获得准确的模糊核和高质量的复原图像。该方法具体包括:选择包括最佳亮条纹的最佳图像块;提取获得的关于模糊核的形状信息;估计模糊核以获得最终的模糊核;进行非盲反卷积,进行还原以获得清晰的还原图像作为最终的去模糊图像。根据本发明,建立了包括亮条纹的实际拍摄的模糊图像的测试集。通过本发明的技术方案,可以获得准确的模糊核和高质量的还原图像,在图像处理领域具有很高的应用价值。

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