Application Of Partial Differential Equation In Image Decoloration

Although in all kinds of media and terminals,color image occupies the mainstream position.But in many scientific research and medical fields,such as B-mode ultrasound,black-and-white printing,black-and-white image has a wide range of applications.At the same time,it is an important research direction to transform color image into black-and-white image.In practical application,improving image processing efficiency and reducing cost are important improvement directions of this technology.Aiming at an image decolorization algorithm using maximum variance information,this paper proposes an average color contrast persist ratio(Average color contrast persist rate,ACCPR)as the evaluation criterion of image decolorization,improves a model of Min Qiu,and makes the objective function convex strictly by adding a regular term to the model,so as to obtain the global and unique optimal solution,thus improving the number and efficiency of image processing.It was tested by ACCPR method.The experimental results also prove the validity of this method and the universality of ACCPR method.The method described in this paper has been granted a national patent.The paper is divided into the following parts.In chapter 1,we roughly give the research background and significance of image decolorization algorithm,the research status at home and abroad and the main contents of this paper.In chapter 2,we give some basic concepts and the current mainstream models.In chapter 3,we give the main principle of Min Qiu's method and the main steps to improve it.In chapter 4,according to the improved method and the ACCPR criterion,we processed the related images and compared the processing results of different algorithms with Chapter 2.