Expert Lecture on "Artificial Intelligence Algorithms for Image Enhancement"

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CIS Chapter, IEEE UP Section (CIS11) organized a Lecture Series on "Computational Intelligence". The speaker of the lecture was Dr. Teena Sharma, Dept. of Electrical Engineering, Indian Institute of Technology Kanpur, India.



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  • Date: 21 Dec 2021
  • Time: 06:00 PM to 06:45 PM
  • All times are (UTC+05:30) Chennai
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https://meet.google.com/gxu-jugf-ucf

  • Kanpur, Uttar Pradesh
  • India 208016



  Speakers

Teena Sharma Teena Sharma of Indian Institute of Technology Kanpur, India

Topic:

Artificial Intelligence Algorithms for Image Enhancement

Biography:

Dr. Teena Sharma is an IEEE member and has been serving as an Executive Committee Member of CIS Chapter, IEEE UP Section (CIS11) Since 2018. Dr. Sharma received her Ph.D. degree from the Department of Electrical Engineering, Indian Institute of Technology Kanpur, India. Her research interests include artificial intelligence, deep learning, machine learning, computer vision, and its applications. She has published 20+ research papers in several international and national journals and conferences of repute including IEEE Transactions on Artificial Intelligence, IEEE Transactions on Emerging Topics in Computational Intelligence, and many more.

Email:

Address:Kanpur, Uttar Pradesh, India, 208016





Agenda

Abstract of the talk:

Artificial Intelligence offers various popular and efficient digital image processing tools to increase the robustness of vision-based applications. These applications depend upon the quality of the input image with fine textural details. The quality of an image can be described by the visible information such as illumination, color, gradients, etc. which gets affected due to various atmospheric conditions i.e., haze and non-uniform illumination. If haze particles are present, the transmission of the reflected light rays to the observer gets obstructed and Airlight increases. Thus, the resulting image appears hazy. On the other hand, the non-uniform illumination condition produces the dark appearance of the captured scene resulting in loss of visible features. Therefore, image enhancement is an essential and important pre-processing step to restore the textural information with fine image details which aims to increase the robustness of vision-based applications. This talk will discuss the artificial intelligent algorithms able to deal with outdoor weather conditions and illumination variations.