Outdoor images Outdoor images that are captured in inclement weather are degraded due to factors like haze and fog. This factor diminishes the visibility of the image. Haze is formed due to two fundamental phenomena namely, attenuation and the air light. Attenuation reduces the scene contrast and air light increases the whiteness in the scene. Images may also contain impulse noises which are pr...

Hazy images often have color distortion, blur and other visible visual quality degradation, affecting the performance of some advanced tasks. Therefore, single image dehazing has always been a challenging significant problem. Convolutional neural network widely used in task, but limitations convolutional operation limit development task. Nowadays, Transformer offers holistic approach to CV does...

Outdoor haze has adverse impact on outdoor image quality, including contrast loss and poor visibility. In this paper, a novel dehazing algorithm based the decomposition strategy is proposed. It combines advantages of two-dimensional variational mode (2DVMD) dark channel prior. The original hazy adaptively decomposed into low-frequency high-frequency images according to frequency band by using 2...

Single image dehazing is a prerequisite that affects the performance of many visually related tasks and has attracted increasing attention in recent years. However, most existing methods place more emphasis on haze removal but less detail recovery dehazed images. In this paper, we propose single method with an independent Detail Recovery Network (DRN), which considers capturing details from inp...