Auto Removal of Bright Spot from Images Captured Against Flashing Light Source

C. S. Asha, Sooraj Kumar Bhat, Deepa Nayak, Chaithra Bhat

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

An image captured using a single lens camera with the sun or flashing source of light in the background frequently exhibits a bright spot in it. Usually, we observe bright spots in images caught during sunrise or sunset. The color of the bright spot varies depending on the overall background of the scene and mainly relies upon the light reflected from the lens. In several instances, bright spot, haze, or flare can arise anywhere in the image. The phenomenon occurs due to the light reflected or scattered by the imperfection of the lens and improper angle of incidence of light. One can avoid by taking the picture at a proper angle such that the spot is positioned directly on the source of light which necessitates expertise. Manual intervention is exacted for images bearing a bright spot; however, it demands the understanding of extra software tools. Moreover, manual editing becomes a time-consuming process for an extensive quantity of images. In the proposed work, we address this issue by determining the bright spot automatically and its removal by filling the gap. We experiment using available feature detection approaches for spot detection and well known in-painting methods to fill the spot area. As a promising method, we select speeded up robust features to identify the bright spot, and exemplar-based in-painting method to fill the gap in that location. We test the proposed method on more than 30 images captured against the flashing source of light. Experimental results on bright spot images reveal that the proposed method is efficient and corrected images appear natural without any artifacts.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728137353
DOIs
Publication statusPublished - 08-2019
Event3rd IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2019 - Manipal, India
Duration: 11-08-201912-08-2019

Publication series

Name2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2019 - Proceedings

Conference

Conference3rd IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2019
Country/TerritoryIndia
CityManipal
Period11-08-1912-08-19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Decision Sciences (miscellaneous)
  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Computational Mathematics
  • Control and Optimization

Fingerprint

Dive into the research topics of 'Auto Removal of Bright Spot from Images Captured Against Flashing Light Source'. Together they form a unique fingerprint.

Cite this