Abstract

This study describes some algorithms in literature review that tried to computationally remove reflections from images over the past years and explains the advantages, limitations or drawbacks of these algorithms. With the popularity of all kinds of digital instrument and digital products, image has become one of the most commonly information carriers in the human activity. The image quality is often influenced by a variety of external factors. When you're going to travel, in some cases, you may have to take pictures through the dividing glass because you are unable to get off the vehicle. You may want to take photographs through windows when you are in a coffee shop or high rise building, this resulted to undesired reflections in the photograph and loss of information in the scene we actually want to capture and destroy the picture, so reflection in images is a big problem in photography. In computer vision, removing reflections is a very useful pre-processing step to remove undesired information from the image to be analyzed, to reach this goal many algorithms have been developed.

Keywords:

Blind source separation, image statistics, Independent Component Analysis (ICA), layer separation, motion, superimposed images,

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Competing interests

The authors have no competing interests.

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