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SUMMARY:Modelling contrast matching across luminance levels [practice talk
 ] - Maliha Ashraf\, Univ. of Cambridge
DTSTART:20241021T150000Z
DTEND:20241021T160000Z
UID:TALK223444@talks.cam.ac.uk
CONTACT:Rafal Mantiuk
DESCRIPTION:The study investigates the modelling of contrast matching func
 tions (SCMF) across various luminance levels\, addressing the nonlinear be
 haviour of the human visual system in perceiving suprathreshold contrasts.
  Using a comprehensive dataset of contrast matching experiments involving 
 younger and older observers\, the research tests existing models and propo
 ses a new hybrid model. The additive model by Kulikowski (1976) and the mu
 ltiplicative model inspired by Peli et al. (1996) are evaluated against th
 e dataset\, revealing their limitations in predicting contrast matching ac
 ross a broad luminance range. A novel model combining additive and multipl
 icative elements is introduced\, accounting for threshold ratios and diffe
 rences\, and optimised using regression analysis. The proposed model demon
 strates superior prediction accuracy\, particularly for achromatic contras
 ts at extreme luminance levels\, and holds potential applications in image
  processing\, particularly for high dynamic range (HDR) content adaptation
  across different luminance conditions.\n\nZoom link: https://cam-ac-uk.zo
 om.us/j/89947275142?pwd=uxEtvafnaF3BmoqfpA0ktuUCj8pdWc.1
LOCATION:SS28 (Common Room)
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