A Survey of Image Dehazing Algorithm Based on Retinex Theory
Haokang Wen, Fengzhi Dai, Dejin Wang · 2020
With the development of computer vision systems, image enhancement has become an important research direction in computer vision. Image defogging technology is widely used in the systems of satellite remote sensing, aerial photography, target recognition and outdoor monitoring. People use image defogging technology to enhance or repair those low-quality pictures affected by fog and haze to improve visual effects and facilitate later image processing. This paper introduces the application field of image enhancement technology, and introduces the classic defogging algorithm in image defogging technology: the Retinex algorithm. In this paper, the algorithm is used to defog the pictures affected by smog in different scenes, and the advantages and disadvantages of the Retinex defogging algorithm are discussed according to the enhanced effect. Finally, this paper analyzes the effectiveness and practicality of using the Retinex algorithm for image enhancement in different scenes.