Research and analysis on optimisation of computer image processing procedures based on the context of big data models

Digital image processing, also known as computer image processing, refers to the process of converting image signals into digital signals and processing them using computers. Digital image processing first appeared in the 1950s, when electronic computers have been developed to a certain level, people began to use computers to process graphics and image information. Digital image processing as a discipline was formed around the early 1960s. The purpose of early image processing is to improve the quality of the image, which is aimed at the human object and to improve the human visual effect. In image processing, the input is a low quality image, and the output is an image with improved quality. Commonly used image processing methods include image enhancement and restoration, coding, compression, and so on. This paper is based on the new big data background algorithms based on the support of the optimisation of the image processing technology of computer programs. The future application of digital image processing is becoming more and more widespread, the status is becoming more and more important, in the future modernisation will play an unparalleled important role.