IEEE Transactions on Instrumentation and Measurement
|
| |
| Measuring Color Defects in Flat Panel Displays using HDR Imaging and Appearance Modeling |
| |
| |
Giljoo Nam |
Haebom Lee |
Sungsoo Oh |
Min H. Kim |
|
| |
|
|
|
|
|
| |
|
KAIST |
LG Electronics |
|
|
| |
|
|
|
|
| |
 |
| |
Schematic diagram of our visual difference prediction workflow. (a) shows the calibrated HDR radiance image in CIEXYZ. (b) indicates the hue-linear color space coordinates. (c) These image coordinates are then convolved with three contrast sensitivity functions, respectively. (d) Finally, our workflow computes color differences between the test and the reference FPD, yielding a color difference map with perceptually uniform scales hue-linear delta E.
|
|
| |
|
|
| |
|
| |
Abstract |
| |
|
| |
Measuring and quantifying color defects in flat panel displays (FPDs) are critical in the FPD industry and related busi- ness. Color defects are traditionally investigated by professional human assessors as color defects are subtle perceptual phenomena that are difficult to detect using a camera system. However, human-based inspection has hindered the quantitative analysis of such color defects. Thus, the industrial automation of color defect measurement in FPDs has been severely limited even by leading manufacturers accordingly. This paper presents a systematic framework for the measurement and numerical evaluation of color defects. Our framework exploits high-dynamic-range (HDR) imaging to robustly measure physically-meaningful quantities of subtle color defects. In addition to the application of advanced imaging technology, an image appearance model is employed to predict the human visual perception of color defects as human assessors do. This proposed automated framework can output quantitative analysis of the color defects. This work demonstrates the performance of the proposed workflow in investigating subtle color defects in FPDs with a high accuracy.
|
| |
|
| |
|
| |
@Article{Nam:TIM:2016,
author = {Giljoo Nam and Haebom Lee and Sungsoo Oh and Min H. Kim},
title = {Measuring Color Defects in Flat Panel Displays using
{HDR} Imaging and Appearance Modeling},
journal = {IEEE Transactions on Instrumentation and Measurement (TIM)},
year = {2016},
volume = {65},
number = {2},
doi = {10.1109/TIM.2015.2485341},
pages = "297--304",
}
|
|
|
|
|
|
|
Hosted by Visual Computing Laboratory, School of Computing, KAIST.
|
 |
|
