Research progress and applications of image defogging algorithms
Journal Title: Progress in Medical Devices - Year 2023, Vol 1, Issue 2
Abstract
Images taken under hazy weather conditions suffer from problems such as blurring, low contrast, and low saturation due to the scattering of atmospheric light by aerosol particles in the air, which affects the performance and judgment of image analysis equipment. With the rapid development of image processing technology and computer vision technology, researchers have proposed a large number of targeted haze removal algorithms to improve the quality of images taken under hazy weather conditions. According to the haze removal principle, mainstream haze removal algorithms can be classified into three categories: image enhancement-based, physics model-based, and neural network-based. This paper introduces and explores classic haze removal algorithms from the perspectives of principles, development, advantages, and disadvantages, and outlines the prospects for the future development and application direction of haze removal algorithms.
Authors and Affiliations
Yi Chen, Shiju Yan, Yunhua Xu, Linping Gu
Keywords
Related Articles
- EP ID EP750303
- DOI 10.61189/145362zgyopx
- Views 43
- Downloads 0
Progress on Microfluidic Blood Cell Counting Techniques
Accurately and efficiently detecting the quantity of blood cells is crucial in routine blood examination, as abnormal high or low numbers of blood cells are associated with the occurrence of various disorders. Due to inh...
Research progress and clinical application of cooled radiofrequency ablation
Radiofrequency ablation (RFA) is a minimally invasive clinical treatment that uses radiofrequency energy to generate heat, resulting in the thermal necrosis of targeted tissues. To enhance the therapeutic benefits of tra...
A method for identifying pleural lines in B-mode ultrasound images
In ultrasound imaging, the pleura is visualized as echo reflection formed by the echoes of the interface between the pleura and the lung surface. Three major signs of pleura determines whether the patient has pneumothora...
Online recognition method for walking patterns of intelligent knee prostheses based on CNN-LSTM algorithm
To enhance the adaptive learning, self-organization, and fault tolerance capabilities of gait pattern recognition in intelligent knee prostheses, an online walking pattern recognition method based on the convolutional ne...
Precision cooling radiofrequency ablation under tumor boundary temperature control
Radiofrequency ablation (RFA) represents a convenient, minimally invasive, and cost-effective approach for the treatment of small liver cancers measuring less than 3 cm in diameter. Nonetheless, the existing RFA techniqu...