A Unified Color and Contrast Age-Dependent Visual Content Adaptation

Solving Challenges and Improving the Performance of Automotive Displays

“…At IRYStec, we have performed extensive subjective evaluations on our PDP components using approximately 20 subjects. These subjective evaluations have been published separately 4,13,19,20 . Here, we introduce an objective measure to evaluate perceptual methods using available image processing quality metrics.…”

“…In the local contrast retargeting step, the apparent loss of detail is corrected with consideration for the human visual system’s contrast sensitivity function (CSF). The CSF we use for this work is a function of luminance values and spatial frequency, 5, 20 as shown here in Equation .…”

“…The contrast sensitivity loss measured in people ages 25 to 70 compared to a reference observer aged 25. The spatial frequency is 10cpd, and the luminance is 100cd/m 2 20 …”

“…Among these, the first and the most important is a local contrast retargeting in which the image contrast is adjusted to compensate for the visual system’s reduced contrast sensitivity caused by aging. For the second step, we follow the approach mentioned in the 2017 paper “ A Unified Color and Contrast Age‐Dependent Visual Content Adaptation ” 20 to adjust the white in the image to the colorimetric changes caused by age 6 . CIE‐2006 introduced an age‐based color matching function (CMF), to establish different LMS cone‐response functions to the spectral stimuli for each age.s 26 Our module uses this age‐dependent LMS model to apply an adaptive white balancing: We calculate an age‐based white point by considering the measured spectral stimuli of the device’s white point and the LMS function for a specific age 20 …”

Perceptual Displays Today & Tomorrow – Evangelism, Productization, and Evaluation

“…In contrast to conventional image processing approaches that were fixed, it has also become very popular to adjust the pixel processing occurring in the chipset or on the display driver to adapt and adjust in real time to the dynamic variables such as image frame. The figure below shows a side-by-side demonstration of such adaptive image processing on two identical displays for a side-by-side comparison [2,3].…”