Optimizing and evaluating new automotive HMI image enhancement algorithms under bright light conditions using display reflectance characteristics

Blankenbach, Karlheinz; Sycev, Andrej; Kurbatfinski, Sascha; Zobl, Martin

doi:10.1002/jsid.246

Cited by 15 publications

(9 citation statements)

References 11 publications

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“…1 demonstrates how the display appears to the driver in 2 lux and 21K lux (first row) and how using our application in dark and bright conditions can clarify important details presented on the screen. DRIVEvue dark and bright modes use similar algorithms but consider the differences between human contrast sensitivity and color perception in dark 5,7,8 and bright 2, 3, 4 environments. This approach consists of three major algorithms: global contrast retargeting, local contrast retargeting, and color retargeting 5 .…”

Section: Drivevuementioning

confidence: 99%

Solving Challenges and Improving the Performance of Automotive Displays

Akhavan¹,

Yoo²,

Chubarau³

2019

Information Display

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As the number, size, and role of in‐vehicle screens expand, more dynamic content rendering is needed to ensure that drivers accurately perceive display information, regardless of lighting conditions or individual vision issues, according to IRYStec, a Canadian‐based start‐up that specializes in perceptual display processing technology. Here, Tara Akhavan, the company’s founder and chief technology officer, and her team present a software solution that they say can improve user experience exponentially.

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Section: Drivevuementioning

confidence: 99%

Solving Challenges and Improving the Performance of Automotive Displays

Akhavan¹,

Yoo²,

Chubarau³

2019

Information Display

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“…A study has shown that visual performance of displays can be improved when the luminance or contrast ratio becomes higher [8]. In addition, there are studies on the image quality due to the reflection of the glass of the LCD top plate along with the ambient illuminance [9,10]. However, a dynamic visual information processing task of LCD and OLED display can induce visual fatigue and both temporal and environmental factors affected visual load [11].…”

Section: Introductionmentioning

confidence: 99%

Auto-brightness control technology depending on user’s pupil area

Kim

2018

IEICE Electron. Express

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An ambient illuminance sensor of a mobile device does not always accurately measure the light that directly affects human perception of the display brightness. Thus, viewing high-luminance displays under low-light conditions causes an unbearable glare, while viewing low-luminance displays under bright-light conditions causes very poor visibility. In this paper, an automatic brightness control (ABC) technology depending on pupil area is proposed. The experimental results revealed that the pupil area decreases by 33% as the ambient illuminance increases tenfold. A linear relation was also observed between appropriate display luminance and logarithm of ambient illuminance in our previous investigation. As a result, the comfortable display luminance is proportional to the relative pupil area, which enables us to propose a novel ABC technology depending on the pupil area. Keywords: pupil area, auto-brightness control, displays, vision, ambient illuminance, visibility Classification: Circuits and modules for electronic displays [2] S. [9] K. Blankenbach, A. Sycev, S. Kurbatfinski, and M. Zobl, "Optimizing and evaluating new automotive HMI image enhancement algorithms under bright light conditions using display reflectance characteristics," J. SID 22 (2014) 267 (DOI: 10.1002/jsid.246).[

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“…In today's world, every individual spends a lot of time in front of displays in various applications such as consumer electronic devices (e.g. smart phones, tablets and laptops), automotive industry [3], and virtual reality interfaces (e.g. head-mounted displays).…”

Section: Introductionmentioning

confidence: 99%

A Retargeting Approach for Mesopic Vision: Simulation and Compensation

Rezagholizadeh¹,

Akhavan²,

Soudi³

et al. 2016

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Retargeting approaches aim at providing a unified framework for image rendering in which both the intended scene luminance and the actual luminance of the display are taken into account. At the core of any color retargeting method, a color vision model and its inverse are employed. Such a color appearance model should be invertible and cover the entire luminance range of the human visual system. There are not many available models which meet these two conditions. Moreover, most of these models are developed based on psychophysical experiments over color patches, and many have never been used for complex images due to their complexity. In this research, a color retargeting approach based on the mesopic model of Shin et al. [1] is developed to work with complex images. We propose an inverse model for complex images to compensate for color appearance changes on dimmed displays viewed in dark environment. Our experimental results using both quantitative and qualitative evaluations show a discriminative improvement in the perceived color quality for mesopic vision. The proposed method can be incorporated into image retargeting techniques and display rendering mechanisms.

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Optimizing and evaluating new automotive HMI image enhancement algorithms under bright light conditions using display reflectance characteristics

Cited by 15 publications

References 11 publications

Solving Challenges and Improving the Performance of Automotive Displays

Solving Challenges and Improving the Performance of Automotive Displays

Auto-brightness control technology depending on user’s pupil area

A Retargeting Approach for Mesopic Vision: Simulation and Compensation

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