The quality of visual information of underwater images is mainly limited by selective
absorption and scattering in water. Usually, most researches of underwater image recovery …

To address the issue of inaccurate transmission estimation in areas with sudden depth
changes in hazy images, the image dehazing algorithm with Heterogeneity Constrained …

Image dehazing is a meaningful low-level computer vision task and can be applied to a
variety of contexts. In our industrial deployment scenario based on remote sensing (RS) …

In the convolutional retinex approach to image lightness processing, an image is filtered by
a centre/surround operator that is designed to mitigate the effects of shading (illumination …

In the image dehazing task, there are three key subtasks need to be performed. The first one
is extracting the finer scale features, eg the detail textures of objects, covered by haze. The …

Fundus cameras are widely used by ophthalmologists for monitoring and diagnosing retinal
pathologies. Unfortunately, no optical system is perfect, and the visibility of retinal images …

Diabetic Retinopathy is the leading cause of blindness in the working-age population of the
world. The main aim of this paper is to improve the accuracy of Diabetic Retinopathy …

Images captured in hazy weather often suffer from color distortion and texture blur due to
turbid media suspended in the atmosphere. In this paper, we propose a Feature Attention …

摘要针对传统算法去雾后图像偏暗的问题, 根据去雾后图像对比度和亮度均应该增加的标准提出
了一种高亮度和对比度的去雾算法. 首先依据大气光与复原图像亮度成反比事实 …