We present a unified computational approach for taking photos through reflecting or
occluding elements such as windows and fences. Rather than capturing a single image, we …

Removing undesired reflections from a photo taken in front of a glass is of great importance
for enhancing the efficiency of visual computing systems. Various approaches have been …

When one records a video/image sequence through a transparent medium (eg glass), the
image is often a superposition of a transmitted layer (scene behind the medium) and a …

Removing the undesired reflections from images taken through the glass is of broad
application to various computer vision tasks. Non-learning based methods utilize different …

Removing the undesired reflections from images taken through the glass is of broad
application to various computer vision tasks. Non-learning based methods utilize different …

We present a learning-based approach for removing unwanted obstructions, such as
window reflections, fence occlusions or raindrops, from a short sequence of images …

We address the problem of blind separation of multiple source layers from their linear
mixtures with unknown mixing coefficients and unknown layer motions. Such mixtures can …

We present a system for image-based modeling and rendering of real-world scenes
containing reflective and glossy surfaces. Previous approaches to image-based rendering …

When we take photos through glass windows or doors, the transmitted background scene is
often blended with undesirable reflection. Separating two layers apart to enhance the image …

Reflection removal is the challenging problem of removing unwanted reflections that occur
when imaging a scene that is behind a pane of glass. In this paper, we show that most …