基于盲解卷积算法的纤维模糊图像复原

Fuzzy Fiber Image Restoration Based on Blind Deconvolution Algorithm

图像采集过程中可能会受到各种情况的影响,如羊绒纤维本身有污损、羊绒纤维制片时受到污损、采集现场光照不均等,这常使羊绒纤维图像中存在一些不可避免的噪声;另外,由于光学显微镜其自身的局限性,会使得采集的羊绒纤维图像的边缘比较模糊.图像复原主要目的是改善给定的图像质量并尽可能恢复原图像.当点扩展函数未知或不确知的情况下,从退化图像中恢复原始图像的过程称为图像盲复原.本文对纤维模糊图像进行了图像盲复原,结果证明该方法能有效还原模糊图像.

In the process of image collecting,the fiber image will be effected by various situation,for example,cashmere fiber itself has stain,or has been polluted in the process of chipping,or the light is not set unequally during the image collection,which often make the inevitable noise in the cashmere fiber image.In addition,the limitation of optical microscope also blurs the edges of the collected cashmere fiber.The main purpose of image restoration is to improve image quality and obtain the recovered imagine.Blind recover is defined to recover original image from degeneration image when the point spread function is unknown or uncertain.This paper discussed the application of image restoration technology to the fuzzy image fiber.