19.1: LCD Visual Quality Analysis by Moving Picture Simulation

Su, Ting‐Wei; Chang, Ting-Jui; Chen, Po‐Lun; Lin, Kuan‐Heng

doi:10.1889/1.2036169

Cited by 17 publications

(17 citation statements)

References 9 publications

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“…However, the slow response time of LC material makes the transition time between different gray levels longer than the frame time [6], sometimes it takes several frame times for the target gray level to be reached. Temporal response of LCDs depends on the LC cell gap width and on the LC material properties (i.e.…”

Section: Introductionmentioning

confidence: 99%

Temporal response measurements of medical liquid crystal displays

Liang

Badano

2006

SPIE Proceedings

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Liquid crystal displays (LCDs) are fast gaining ground over the cathode ray tube (CRT) displays in the medical display market. High performing LCDs are considered to have comparable or better performance than CRTs in displaying static images. However, LCDs are inferior to CRTs in displaying moving scenes due to their slow response. The response time provided by display manufacturers is typically measured while switching the LCD from black to white and white to black. This is usually not the longest response time. In reality, the transition time between different gray scales can be many times longer. In this paper we report preliminary work on measuring the gray level response time of LCDs and simulating luminance errors caused by slow transition between some gray levels. We first characterized the measuring system using a fast light-emitting diode (LED) to explore the accuracy and noise-filtering capability of the system. A 256x256 matrix of response time between different gray levels was then measured. Nearly half of the gray level transitions are much longer than the frame time (16.67 ms) of LCD displays. The longest response time was above 100 ms. When driving a display between these gray levels, the targeted gray level can't be achieved until many frame times. To understand how the slow response may affect the display's ability to render the desired image values, we calculated the achieved luminance based on the measured matrix. The results simulate the visual effect of displaying a moving object on the LCD monitors, and providing a reference for determining LCD performance.

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Section: Introductionmentioning

confidence: 99%

Temporal response measurements of medical liquid crystal displays

Liang

Badano

2006

SPIE Proceedings

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“…(2) and (10), the eye-trace integration in Eq. (8) can be simplified to an integration of Y 0 (t) for the moving edge: (11) As shown in Fig. 3, any value of t will be mapped into a value of t′ between -x e /v × T F and -x e /v × T F + T F .…”

Section: Moving Edgementioning

confidence: 99%

“…With this system, the images perceived by the human visual system on LCD panels can be correctly predicted. 10,11 In this paper, the principles behind the simulation system will be described in detail, and the visual effects of more advanced and complex motion-blur-reduction techniques such as hybrid scanning, gray-field insertion, and double refresh rates will also be evaluated. [12][13][14] 2…”

Section: Introductionmentioning

confidence: 99%

Moving‐image simulation for high‐quality LCD TVs

Su¹,

Su²,

Chang³

et al. 2007

J Soc Info Display

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Abstract— A simulation system incorporating pixel response and eye‐trace integration was developed to evaluate the moving‐image performance of high‐quality LCD TVs. A simple formula was derived for moving‐edge simulation, which can be used to evaluate the visual effects of arbitrary response waveforms. A model of exponential decay with dynamic time constants is proposed for the LC response to perform moving‐image simulation. The model was used to evaluate the visual effects of various motion‐blur‐reduction techniques. Six different motion‐blur‐reduction techniques were evaluated in terms of their visual effects. Among them, three basic techniques show certain defects, which are further analyzed by simulation. The other three advanced techniques show excellent performance, and, therefore, are recommended for use in high‐quality LCD TVs.

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“…The visual effect of a moving image on a hold-type display evaluated by the smooth-pursuit eye-tracking & temporal integration is not treated here, since it is well described in the literature [6][7][8][9][10]. We just describe the simulation model by taking into account the temporal step responses of various gray-level transitions.…”

Section: Simulation Modelmentioning

confidence: 99%

“…However, these measuring systems are complicated, expensive, and not including all artifacts related to motion blur [5]. The second approach via simulation uses the LCD luminance transitions curves (temporal step responses) together with eyetracking & temporal integration to predict and evaluate motion artifacts via the "blur edge" [6][7][8][9]. However, perceptual validation of the model was not always present in these publications.…”

Section: Introductionmentioning

confidence: 99%