Abstract Most recent learning algorithms for single image dehazing are designed to train with paired hazy and corresponding ground truth images, typically synthesized images. Real datasets can help improve performance, but tough acquire. This paper proposes an unsupervised algorithm based on GAN alleviate this issue. An end-to-end network architecture is established fed unpaired clean signifyin...

Remote sensing images are widely used in object detection and tracking, military security, other computer vision tasks. However, remote often degraded by suspended aerosol the air, especially under poor weather conditions, such as fog, haze, mist. The quality of directly affect normal operations systems. As such, haze removal is a crucial indispensable pre-processing step image processing. Addi...

In this paper, we introduce a bilinear composition loss function to address the problem of image dehazing. Previous methods in image dehazing use a two-stage approach which first estimate the transmission map followed by clear image estimation. The drawback of a two-stage method is that it tends to boost local image artifacts such as noise, aliasing and blocking. This is especially the case for...

The CMOS (Complementary Metal-Oxide-Semiconductor) is a new type of solid image sensor device widely used in object tracking, object recognition, intelligent navigation fields, and so on. However, images captured by outdoor CMOS sensor devices are usually affected by suspended atmospheric particles (such as haze), causing a reduction in image contrast, color distortion problems, and so on. In v...

Images captured under adverse weather conditions, such as haze or fog, typically exhibit low contrast and faded colors, which may severely limit the visibility within the scene. Unveiling the image structure under the haze layer and recovering vivid colors out of a single image remains a challenging task, since the degradation is depth-dependent and conventional methods are unable to handle thi...

Image dehazing is one of the problems that need to be solved urgently in field computer vision. In recent years, more and algorithms have been applied image achieved good results. However, after still has color distortion, contrast saturation disorder, other challenges; order solve these problems, this paper, an effective method proposed, which based on improved channel transfer multiexposure f...

As an atmospheric phenomenon, haze significantly reduces the visibility of outdoor and remote sensing images. imaging have different mechanisms, existing dehazing methods are hard to be applied for both images In this article, efficient method is proposed which can The has advantages based on image enhancement restoration methods. To address problem inaccurate calculation transmittance in metho...