Back close

Detection and Removal of RainDrop from Images Using DeepLearning

Publication Type : Conference Proceedings

Publisher : Computational Vision and Bio-Inspired Computing

Source : Computational Vision and Bio-Inspired Computing, Springer International Publishing, Cham (2020)

Url :

ISBN : 9783030372187

Campus : Coimbatore

School : School of Engineering

Department : Computer Science

Year : 2020

Abstract : Dynamic climatic conditions like rain, affects the performance of vision algorithms which are used for surveillance and analysis tasks. Removal of rain-drops is challenging for single image as the rain drops affect the entire image and makes it difficult to identify the background affected by the rain. Thus, removal of rain from still pictures is a complex and challenging task. The rain drops affect the visibility and clarity of the image which makes it difficult to read and analyze the information present in the image. In this paper, we identified and restored the rain drop affected regions using a deep learning architecture.

Cite this Research Publication : Y. Himabindu, Manjusha R., and Parameswaran, L., “Detection and Removal of RainDrop from Images Using DeepLearning”, Computational Vision and Bio-Inspired Computing. Springer International Publishing, Cham, 2020.

Admissions Apply Now