ProgramsView all programs
From the news
- Chancellor Amma Addresses the Parliament of World’s Religions
- Amrita Students Qualify for the European Mars Rover Challenge
Publication Type : Conference Proceedings
Publisher : Computational Vision and Bio-Inspired Computing
Source : Computational Vision and Bio-Inspired Computing, Springer International Publishing, Cham (2020)
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.