基于偏导数提高图像品质的一种滤波算法

A Filtering Algorithm for Improving Image Quality Based on Partial Derivative

该文通过一种基于偏导数的滤波算法把降质了的图像恢复成原有或者接近原有图像。他是解决图像复原中的图像去噪问题的一种方法。滤波的主要目的是从含有噪声图像中估计原始数据图像,图像的滤波一直是图像处理中最基本、最重要的问题之一。该文通过实验、算法解析、分析结果来证明了基于偏导数的滤波算法对解决图像复原具有较好的有效性。

In this paper,a filtering algorithm Based on partial derivative is used to restore the degraded image to the original or near the original image.He is a way to solve the problem of image denoising in image restoration.The main purpose of filtering is to estimate raw data images from noisy images.Filtering of images is always one of the most basic and important problems in image processing.Through experiments,algorithm analysis and analysis results,it is proved that the filtering algorithm Based on partial derivative is effective to solve the image restoration problem.