Application of Computer Image Processing Technology in Ethnic Digital Imaging

Abstract

In the computer field, graphics and image processing technology has occupied a relatively key core position in computer technology. Image processing not only provides convenience for people’s daily life, but also makes people’s visual experience have a strong impact. In today’s information age, science and technology play a leading role. Whether it is a cause, a field, a country, or the world, the rapid development and progress cannot be achieved without the integration and application of science and technology, as well as the digital digital image. At present, the background for the development of national digital imaging is the continuous and in-depth development of science and professionalism, and the growing international development trend. At present, the continuous improvement and development of computer image processing technology will have a profound impact on the field of national digital imaging. The purpose of this article is to study the application of ethnic digital images based on computer image processing technology. This paper uses the Dropout method to fit the training data and uses the Softmax function to calculate the probability distribution. In the experiment, 60% of the reference image is selected, 20% of the training set is used as the verification set, and 20% is used as the test set to repeat the median hundreds of times to reduce the error. And the data preprocessing method with local contrast normalization is adopted to improve the effect. The experimental results show that when the number of filters is 64, the image quality is the best. In the current IQA-Basic image processing results, the VSI is relatively poor. In IQA.Weighted2, the training image block is calibrated by the reference image quality assessment method, which has better results.