8‐3: An Evaluation Methodology for Display Retention Measurement

Abstract

Image retention is a defect related with all types of displays, but testing for it has not been redefined since the early years of TV. As the era of HDR approaches, new test procedures for determining the degree of image retention in modern consumer display products needs to be undertaken.

50‐2: Towards Modern Burn‐in Assessment Method for HDR Displays

“…A novel burn-in assessment method was presented in our previous work [9]. Based on the studies of various conventional test and evaluation methodologies for different devices (selfemissive and non-self-emissive), A quick conclusion of the study can be made.…”

“…The steepest gradient magnitude values for W, R, G and B test regions were measured and summarized in the Table 2, respectively. Conventional residual image factor didn't consider any color patterns while color residual image factor was proposed by our previous study [9]. In the Table 2, the gradient magnitudes of color patches are significantly larger than that of white one.…”

“…Lee et al proposed an evaluation method measuring two dimensional luminance values for LCDs [8]. A quantitative evaluation method for organic light emitting device (OLED) were proposed by Maekawa et al, which defines the quantities effective intensity and effective current density [9]. Based on the image gray levels analysis of TV contents such as news, video games, sports and so on, Johnson et al proposed alternative gray levels for the International Electrotechnical Commission (IEC)recommended test pattern and measurement technique [10][11][12].…”

“…For the purpose of short-and long-term experiments have been conducted. The last one is to propose a new quantitative evaluation method which introduce the steepest gradient magnitude as a weighting factor for conventional residual image factor of IDMS [9,13].…”

57‐3: Characterizing Image Retention for HDR OLED Displays

“…8-3: An Evaluation Methodology for Display Retention Measurement. SID 2018) [7], with some additional measurement and structural features added to allow for extraction of additional information. This approach has been applied to several sets of OLED televisions to observe the overall performance and demonstrate the utility of the approach.…”