In this paper, we propose a novel two-stage context-aware network named CANet for
shadow removal, in which the contextual information from non-shadow regions is transferred …

Specular highlight detection and removal are fundamental and challenging tasks. Although
recent methods achieve promising results on the two tasks by supervised training on …

Specular highlight removal plays a pivotal role in multimedia applications, as it enhances
the quality and interpretability of images and videos, ultimately improving the performance of …

Specular highlight detection and removal is a fundamental problem in computer vision and
image processing. In this paper, we present an efficient end-to-end deep learning model for …

Specular highlight detection is a challenging problem, and has many applications such as
shiny object detection and light source estimation. Although various highlight detection …

Specular reflections pose great challenges on various multimedia and computer vision
tasks, eg, image segmentation, detection and matching. In this paper, we build a large-scale …

This paper aims to remove specular highlights from a single object-level image. Although
previous methods have made some progresses, their performance remains somewhat …

Recently, removing rain streaks from a single image has attracted a lot of attention because
rain streaks can severely degrade the perceptual quality of the image and cause many …

A wavelet-transform-based highlight suppression method is presented, aiming at
suppressing the highlights of single image with complex texture. The strategy involves the …

Specular highlights detection and removal in images is a fundamental yet non-trivial
problem of interest. Most modern techniques proposed are inadequate at dealing with real …