AI-Based Image Processing and Computer Vision

Dear Colleagues,

In recent years, AI-based image processing and computer vision have made remarkable progress, and they are being put into practical use across various fields. Furthermore, technological advances in deep learning have significantly improved the accuracy of image recognition. It is now possible to perform tasks with high precision, such as human face recognition and object detection, which were difficult with conventional image recognition technology. Technological advances in generative models (such as GAN) have also made it possible to generate high-quality images that look as if they had been created by humans. This technology is used in fields such as image editing and advertising production. Moreover, image restoration technology removes noise from images and complements missing parts, and such technology that utilizes AI has been developed, thereby making it possible to restore more natural and high-quality images. Moreover, 3D recognition technology using 3D sensors and deep learning has progressed rapidly, and it is utilized in fields such as robotics and autonomous driving. Video analysis technology recognizes the movement of people and objects from videos, analyzes their actions, and is used in surveillance cameras and security systems. Meanwhile, augmented reality (AR) and virtual reality (VR), when combined with AI technology, can provide a more realistic and immersive experience. This technology is used in fields such as entertainment and education. In addition, AI technology is expected to generate new innovations by merging with other technologies such as robotics, autonomous driving, and medical care. However, ethical issues have also arisen with the development of AI. For example, if AI is misused, problems such as privacy invasion and discrimination may occur. It is important to respond appropriately to these issues. Accordingly, the following research areas are selected for this Special Issue: AI-based image processing and computer vision, pattern analysis, machine intelligence, pattern recognition, and image understanding. Your contributions would be highly appreciated.

Prof. Dr. Kohei Arai
Guest Editor

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• image processing
• computer vision
• pattern analysis
• machine intelligence
• pattern recognition
• image understanding