Background and objective Currently, the morbidity and mortality of lung cancer rank first
among malignant tumors worldwide. Improving the resolution of thin-slice CT of the lung is …

With the advancement of sensors, image and video processing have developed for use in
the visual sensing area. Among them, video super-resolution (VSR) aims to reconstruct high …

Indoor object detection and recognition present one of the most crucial tasks for computer
vision and robotic systems. Developing new intelligent autonomous robots is required in …

Recent advancements in Single-Image Super-Resolution (SISR) have explored the network
architecture of deep-learning models to achieve a better perceptual quality of super …

The image super-resolution algorithm based on deep learning has a good reconstruction
effect, and the reconstruction can be further enhanced by using multi-scale features. There …

At present, the deep learning super-resolution (SR) method has achieved excellent results,
but it also faces problems such as large models, high computational cost, a large amounts of …

Since high quality realistic media are widely used in various computer vision applications,
image compression is one of the essential technologies to enable real-time applications …

As realistic media are widespread in various image processing areas, image or video
compression is one of the key technologies to enable real-time applications with limited …

In this paper, to improve the conditions of the fish processing site, we propose a method to
predict the cutting point of fish according to the target weight using AI machine vision. The …

In this paper, we propose a passage guidance method for the visually impaired person
through a braille block detection. The proposed method recognizes the passage information …