BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20220208T055948Z
UID:E30F58A5-C61C-4327-ABC8-0DA8EFAA5707
DTSTART;TZID=Asia/Kolkata:20211221T180000
DTEND;TZID=Asia/Kolkata:20211221T184500
DESCRIPTION:CIS Chapter\, IEEE UP Section (CIS11) organized a Lecture Serie
 s on "Computational Intelligence". The speaker of the lecture was Dr. Teen
 a Sharma\, Dept. of Electrical Engineering\, Indian Institute of Technolog
 y Kanpur\, India.\n\nSpeaker(s): Teena Sharma\, \n\nAgenda: \nAbstract of 
 the talk:\n\nArtificial 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 imag
 e with fine textural details. The quality of an image can be described by 
 the visible information such as illumination\, color\, gradients\, etc. wh
 ich gets affected due to various atmospheric conditions i.e.\, haze and no
 n-uniform illumination. If haze particles are present\, the transmission o
 f the reflected light rays to the observer gets obstructed and Airlight in
 creases. Thus\, the resulting image appears hazy. On the other hand\, the 
 non-uniform illumination condition produces the dark appearance of the cap
 tured scene resulting in loss of visible features. Therefore\, image enhan
 cement is an essential and important pre-processing step to restore the te
 xtural information with fine image details which aims to increase the robu
 stness of vision-based applications. This talk will discuss the artificial
  intelligent algorithms able to deal with outdoor weather conditions and i
 llumination variations.\n\nKanpur\, Uttar Pradesh\, India\, 208016\, Virtu
 al: https://events.vtools.ieee.org/m/304048
LOCATION:Kanpur\, Uttar Pradesh\, India\, 208016\, Virtual: https://events.
 vtools.ieee.org/m/304048
ORGANIZER:vrij@iiita.ac.in
SEQUENCE:0
SUMMARY:Expert Lecture on "Artificial Intelligence Algorithms for Image Enh
 ancement"
URL;VALUE=URI:https://events.vtools.ieee.org/m/304048
X-ALT-DESC:Description: <br /><p>CIS Chapter\, IEEE UP Section (CIS11) orga
 nized a Lecture Series on "Computational Intelligence". The speaker of the
  lecture was Dr. Teena Sharma\, Dept. of Electrical Engineering\, Indian I
 nstitute of Technology Kanpur\, India.</p><br /><br />Agenda: <br /><h4><s
 trong>Abstract of the talk:</strong></h4>\n<p align="justify">Artificial I
 ntelligence offers various popular and efficient digital image processing 
 tools to increase the robustness of vision-based applications. These appli
 cations depend upon the quality of the input image with fine textural deta
 ils. The quality of an image can be described by the visible information s
 uch as illumination\, color\, gradients\, etc. which gets affected due to 
 various atmospheric conditions i.e.\, haze and non-uniform illumination. I
 f haze particles are present\, the transmission of the reflected light ray
 s to the observer gets obstructed and Airlight increases. Thus\, the resul
 ting 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 an
 d important pre-processing step to restore the textural information with f
 ine image details which aims to increase the robustness of vision-based ap
 plications. This talk will discuss the artificial intelligent algorithms a
 ble to deal with outdoor weather conditions and illumination variations.</
 p>
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