17‐2: <i>Invited Paper:</i> Simulation Based Artificial Intelligence for Displays

Kim, Yongjo; Baek, Seungin; Kim, Hoilim; Kang, Min Soo; Seo, Yu-Deok; Cho, Hyunguk; James, Richard; Kwag, Jinoh

doi:10.1002/sdtp.14648

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…However, some problems arise, such as insufficient light input and strong diffraction, resulting in insensitive sensing and blurry photos. Regarding insufficient light input issue, system makers have adopted machine learning technology to improve photo quality [1,2], and panel makers also try different approaches to improve the transmittance of display as well [3]. Based on the new UDC panel design architecture, although the panel transmittance has been improved, existing image algorithms, such as sub-pixel rendering (SPR) and de-mura (DMR), will need corresponding modification due to abnormal phenomena between normal and UDC areas.…”

Section: Introductionmentioning

confidence: 99%

7‐4: Correction Algorithm for Under‐Display Camera Area on AMOLED Display

Lee

Sung

et al. 2022

Symp Digest of Tech Papers

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In this paper, we correct the necessary image algorithm such as sub‐pixel rendering (SPR) and de‐mura (DMR) for under‐display camera (UDC) area on AMOLED display. Because the wiring of TFT pixel circuit and structure are different between UDC and normal area, it results in color shifts and brightness nonuniformity in the UDC area. The new correction algorithms we propose are based on the existing architecture, distinguish the position coordinates of the two areas, and give a new correction method for the UDC area. The new algorithms have been integrated into the new DDIC NT37701 and have been mass‐produced for smartphone products.

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Section: Introductionmentioning

confidence: 99%

7‐4: Correction Algorithm for Under‐Display Camera Area on AMOLED Display

Lee

Sung

et al. 2022

Symp Digest of Tech Papers

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7‐3: OLED Camera‐Under Panels with Improved Imaging Quality

Wang

Hao

et al. 2022

Symp Digest of Tech Papers

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In this paper, we report the novel design and fabrication of OLED (organic light‐emitting diode) Camera‐under panels (CUP) with improved transmittance and imaging quality. We utilized TFT (thin film transistor)‐outside structure and patterned cathode in the CUP region. The diffraction simulation, transmittance test, Point spreading function (PSF) test, and scene photos proved the efficiency of our solution. Remarkable enhancement of imaging performance, which was identical to that of a normal AA‐hole OLED panel, was achieved. The results confirm the effectiveness of our CUP design strategy and also the potential of our design to be commercially used in the industry.

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17‐2: Invited Paper: Simulation Based Artificial Intelligence for Displays

Cited by 2 publications

References 10 publications

7‐4: Correction Algorithm for Under‐Display Camera Area on AMOLED Display

7‐4: Correction Algorithm for Under‐Display Camera Area on AMOLED Display

7‐3: OLED Camera‐Under Panels with Improved Imaging Quality

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