Images captured through the glass often consist of undesirable specular reflections. These
reflections detected in front of the glass remarkably reduce the quality and visibility of the …

Single image reflection removal is an ill‐posed problem. To solve this problem, this study
develops a network structure based on a deep encoder–decoder RRnet. Unlike most deep …

When people take a picture through glass, the scene behind the glass is often interfered by
specular reflection. Due to relatively easy implementation, most studies have tried to recover …

Reflection removal has been discussed for more than decades. This paper aims to provide
the analysis for different reflection properties and factors that influence image formation, an …

Due to the lack of paired data, the training of image reflection removal relies heavily on
synthesizing reflection images. However, existing methods model reflection as a linear …

Single image reflection removal (SIRR) is an extremely challenging, ill-posed problem with
many application scenarios. In recent years, massive deep learning-based methods have …

Reflections often obstruct the desired scene when taking photos through glass panels.
Removing unwanted reflection automatically from the photos is highly desirable. Traditional …

Removing undesirable reflections from a single image captured through a glass window is
of practical importance to visual computing systems. Although state-of-the-art methods can …

Recently, deep learning-based single image reflection separation methods have been
exploited widely. To benefit the learning approach, a large number of training image pairs …

When imaging through a semi-reflective medium such as glass, the reflection of another
scene can often be found in the captured images. It degrades the quality of the images and …