When photographing through a piece of glass, reflections usually degrade the quality of captured images or videos. In this paper, by exploiting periodically varying light flickering, we investigate the problem of removing strong reflections from ...

Removing undesired reflection from an image captured through a glass surface is a very challenging problem with many practical applications. For improving reflection removal, cascaded deep models have been usually adopted to estimate the ...

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 the reflection from a single image, however, is highly ill-posed since the color at ...

• A realistic and diversified training dataset (POL) is constructed by optical modeling for reflection obstructed image.

The reflection effect is unavoidable when taking photos through glasses or other transparent materials, which introduces undesired information into pictures. Hence, removing the influence of reflection becomes a key problem in computer ...

Face images captured through glass are usually contaminated by reflections. The low-transmitted reflections make the reflection removal more challenging than for general scenes because important facial features would be completely occluded. In ...

Reflection removal from photographs is an important task in computational photography, but also for computer vision tasks that involve imaging through windows and similar settings. Traditionally, the problem is approached as a single reflection ...

We present a valid polarization-based reflection contaminated image synthesis method, which can provide adequate, diverse and authentic training dataset. Meanwhile, we enhance the neural network by introducing the reflection information as guidance and ...

This work addresses the reflection removal with flash and no-flash image pairs to separate reflection from transmission. When objects are covered by glass, the no-flash image usually contains reflection, and thus flash is used to enhance ...

When we take a picture through glass windows, the photographs are often degraded by undesired reflections. To separate reflection layer and background layer is an important problem for enhancing image quality. However, single-image reflection ...

We present a deep residual learning approach to address the single image reflection removal problem. Specifically, residual learning exploits the mapping between the observed image and its comparatively simple reflection information, which is then ...

RGB eye image is prune to study reflections with large and different intensities.The fusion of line intensity profile and support vector machine is proposed.Line intensity profile is used for reflection identification.Support vector machine is used to ...

This paper presents a novel method for reflection removal in the context of an object detection system. The method is based on chromatic properties of the reflections and does not require a geometric model of the objects. An experimental evaluation of ...