Image processing systems for domestic printers based on image printing algorithms

Intelligent algorithms are gradually becoming the key technology for improving the image processing efficiency and quality of domestic printer image processing systems. However, due to the poor compatibility of the existing system optimization methods between the algorithm and the hardware, it is easy to lead to insignificant efficiency improvement and unsatisfactory image processing results. Based on this, the research proposes an image processing system based on white balance adjustment, edge enhancement algorithm and trusted cryptographic module chip. Among them, the trusted cryptographic module chip can ensure the data security during the image processing process. The experiment shows that the color deviation value and restoration rate of the images processed by the research system are 1.43 and 97.51% respectively. The edge sharpness value after running for 30 minutes is greater than 12.48GL/px. The detail retention rate is as high as 95.03%. The time consumption and memory usage rate for processing 1000×1000 pixel images are 0.274 seconds and 40.80% respectively. The above experimental data are all superior to the comparison system, fully demonstrating the feasibility and superiority of the research system, and providing a reference solution for the upgrade of image processing technology of domestic printers.