A Cascaded Algorithm for Image Quality Assessment and Image Denoising Based on CNN for Image Security and Authorization

Abstract

With the rapid development of Internet technology, images on the Internet are used in various aspects of people's lives. The security and authorization of images are strongly dependent on image quality. Some potential problems have also emerged, among which the quality assessment and denoising of images are particularly evident. This paper proposes a novel NR-IQA method based on the dual convolutional neural network structure, which combines saliency detection with the human visual system (HSV), used as a weighting function to reflect the important distortion caused by the local area. The model is trained using gray and color features in the HSV space. It is applied to the parameter selection of an image denoising algorithm. The experiment proves that our proposed method can accurately evaluate image quality in the process of denoising. It provides great help in parameter optimization iteration and improves the performance of the algorithm. Through experiments, we obtain both improved image quality and a reasonable result of subject assessment when the cascaded algorithm is applied in image security and authorization.

Research on Long Jump Posture in School Physical Education Teaching Based on Video Analysis

“…It is difficult for coaches to intuitively judge athletes' sport indicators in a short period of time. In order to help the athletes achieve excellent results in the competition, daily training is essential [15][16][17]. With the development of science and technology, coaches can make full use of various modern technologies in the training.…”

“…e moving target detection refers to the extraction of moving actions and spherical targets from the entire collected image, which is the key to subsequent moving target tracking [16][17][18]. At present, there are mainly three methods for target detection, namely, the frame difference method, the background subtraction method, and the optical flow method.…”

“…e motion trajectory tracking refers to the process of finding various positions belonging to the same moving target in a video image sequence and connecting the positions of various points into a running line [14][15][16][17][18][19][20][21][22].…”

“…In this paper, the video processing technologies are used in long jump video analysis to calculate the key parameters of athletes in the process of long jump, so as to provide support for targeted improvement of training methods. First, the athlete's long jump video is processed to improve the image quality of each frame [17][18][19][20]. On this basis, the video target detection technology is used to obtain the athlete in the scene as the object to be analyzed.…”

Image Denoising Based on Improved Gaussian Mixture Model

“…Due to the effects of different illumination and changes in sensor temperature during image acquisition, transmission, and digitization, random noises will be introduced into the acquired images, and these noises often exhibit Gaussian characteristics [1][2][3][4]. e existence of noise will not only affect the visual effect of the image but also further affect the subsequent processing of the image, such as image feature extraction, image classification and recognition, and so on.…”