Abstract
Removal of specular reflection also called specularity or highlights from an image is very important before the image is processed or analyzed by computer for image processing, computer graphics and computer vision because it is considered as part of the image by the computer. Removal of specular reflection is important because when there are specular reflections in the image it causes errors in the results of many algorithms of computer vision and image processing. Due to specular reflections in images, shapes in images get distorted, and therefore, all shape detecting algorithms and algorithms based on shape detection, boundary detection results in erroneous outputs. Removal of specular reflection includes detection of the reflection or reflections in the given image and then changing those pixels with some other color pixel based on the other portions of the image which are not faulty. There exist many different techniques for the detection and removal of specular reflection. In this paper, some of such techniques and approaches to tackle the problem are discussed. We have also proposed a simple yet efficient algorithm for specular reflection removal.
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Agarwal, A., Ali, F., Kopparthi, A., Ranjan, P., Shrivastav, K.D., Janardhanan, R. (2022). Specular Reflection Removal in Cervigrams. In: Sarma, H.K.D., Balas, V.E., Bhuyan, B., Dutta, N. (eds) Contemporary Issues in Communication, Cloud and Big Data Analytics. Lecture Notes in Networks and Systems, vol 281. Springer, Singapore. https://doi.org/10.1007/978-981-16-4244-9_35
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DOI: https://doi.org/10.1007/978-981-16-4244-9_35
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