Optimal Control and Image Processing Method based on Domain Decomposition Parallel Computing

Abstract

High-performance scientific computing has become the core competitiveness of a country. Using advanced computing power to understand and solve complex scientific engineering problems. However, due to the lack of optical equipment, these understandings and records are relatively rough. With the development of technology, human beings have invented observation tools, which makes people's understanding and transformation of the world on the fast track. Effective solution on parallel computers: Many classical and modern disciplines or projects are related to the basic problem of system parameter determination. For a controlled system, find an optimal control scheme from the existing control schemes, so that the target performance index value can reach the optimal value. Thereby destroying the geometric structure of the image. This contradiction is especially obvious when the noise interference in the image is large. Theoretically, the larger the aperture of the telescope, the more incident light, and the higher the imaging resolution. Therefore, increasing the aperture of the telescope became the mainstream development direction of the telescope at that time. It is a lighting control equipment that uses photosensitive and infrared sensors to detect the light environment and single chip microcomputer to make decision and control. Although this method has simple structure, it still has the defects of single function, high misjudgment rate and unable to control according to the actual situation. However, with the increase of the scale of the problem, how to propose high-resolution, real-time response numerical algorithm has become a more urgent need. The image with large noise interference can also achieve good results in denoising, and has better filtering performance than the standard median filter, which provides an effective way to eliminate impulse noise in the image. This paper mainly aims at this problem, which has a large number of applications in the field of image processing and domain decomposition computing. Therefore, how to efficiently and optimally control the image processing method of parallel computing.