The reflection superposition phenomenon is complex and widely distributed in the real
world, which derives various simplified linear and nonlinear formulations of the problem. In …

A single superimposed image containing two image views causes visual confusion for both
human vision and computer vision. Human vision needs a “develop-then-rival” process to …

Real world images often gets corrupted due to unwanted reflections and their removal is
highly desirable. A major share of such images originate from smart phone cameras capable …

In this paper, we aim to restore a reflection-free image from a single reflection-contaminated
image captured through the glass. Many deep-learning-based methods attempt to solve the …

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 …

This research focuses on the issue of single-image reflection removal (SIRR) in real-world
conditions examining it from two angles: the collection pipeline of real reflection pairs and …

How to model the effect of reflection is crucial for single image reflection removal (SIRR)
task. Modern SIRR methods usually simplify the reflection formulation with the assumption of …

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 …

Smart manufacturing uses robots and artificial intelligence techniques to minimize human
interventions in manufacturing activities. Inspection of the machine'working status is critical …

Reflection is common when we see through a glass window, which not only is a visual
disturbance but also influences the performance of computer vision algorithms. Removing …