• Title/Summary/Keyword: Pixel error

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ASIC Design Controlling Brightness Compensation for Full Color LED Vision

  • Lee Jong Ha;Choi Kyu Hoon;Hwang Sang Moon
    • Proceedings of the IEEK Conference
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    • 2004.08c
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    • pp.836-841
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    • 2004
  • This paper describes ASIC design for brightness revision control, A LED Pixel Matrix (LPM) design and LPM in natural color LED vision. A designed chip has 256 levels of gradation correspond to each Red, Green, Blue LED pixel respectively, which have received 8bit image data. In order to maintain color uniformity by reducing the original rank error of LED, we adjusted the specific character value 'a' and brightness revision value 'b' to pixel unit, module unit and LED vision respectively by brightness characteristic function with 'Y=aX+b'. In this paper, if designed custom chip and brightness revision control method are applied to manufacturing of natural color LED vision, we can obtain good quality of image. Furthermore, it may decrease the cost for manufacturing LED vision or installing the plants.

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Reduction of Susceptibility Effect Using Frequency Modulation DANTE (주파수 변조 DANTE를 이용한 자화율 효과의 감소)

  • Chung, S.T.;Hong, I.K.;Kim, J.H.;Ro, Y.M.;Cho, Z.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1995 no.11
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    • pp.167-170
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    • 1995
  • An frequency modulated (FM) DANTE pulse sequence generates a quadratic phase toward the transverse of image by an FM RF pulse. In the image of a serious susceptibility effect, the phase due to the difference of the susceptibility in the pixel occurs susceptibility error which arise signal loss. But the signal loss due to the susceptibility effect in the pixel is reduced when the quadratic phase adds in the pixel. In this paper, we have generated a quadratic function toward the transverse (X-Y) using FM DANTE sequence and the susceptibility effect is reduced in the gradient echo (GE) imaging. Computer simulation and experimental results is obtained by using a whole-body KAIS 2.0T NMR system.

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New Voltage Programming LTPS-TFT Pixel Scaling Down VTH Variation for AMOLED Display

  • Nam, Woo-Jin;Lee, Jae-Hoon;Choi, Sung-Hwan;Jeon, Jae-Hong;Han, Min-Koo
    • 한국정보디스플레이학회:학술대회논문집
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    • 2006.08a
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    • pp.399-402
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    • 2006
  • A new voltage-scaled compensation pixel which employs 3 p-type poly-Si TFTs and 2 capacitors without additional control line has been proposed and verified. The proposed pixel does not employ the $V_{TH}$ memorizing and cancellation, but scales down the inevitable $V_{TH}$ variation of poly-Si TFT. Also the troublesome narrow input range of $V_{DATA}$ is increased and the $V_{DD}$ supply voltage drop is suppressed. In our experimental results, the OLED current error is successfully compensated by easily controlling the proposed voltage scaling effects.

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A Novel Voltage-Programming Pixel with Current-Correction Method for Large-Size and High-Resolution AMOLEDs on Poly-Si Backplane

  • In, Hai-Jung;Bae, Joon-Ho;Kang, Jin-Sung;Kwon, Oh-Kyong;Chung, Ho-Kyoon
    • 한국정보디스플레이학회:학술대회논문집
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    • 2005.07b
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    • pp.901-904
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    • 2005
  • A novel active matrix organic light diodes (AMOLEDs) voltage-programming pixel structure with current-correction method is proposed for largesize and high-resolution poly-Si AMOLED panel applications. The HSPICE simulation results shows that the maximum error of emission current in proposed pixel is 1.536%, 2.45%, and 2.97% with the ${\pm}12.5%$ mobility variation and ${\pm}0.3V$ threshold voltage variation for 30-, 40-, and 50-inch HDTV panels, respectively.

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New Voltage Programming LTPS-TFT Pixel Scaling Down VTH Variation for AMOLED Display

  • Nam, Woo-Jin;Lee, Jae-Hoon;Shin, Hee-Sun;Jeon, Jae-Hong;Han, Min-Koo
    • Journal of Information Display
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    • v.7 no.3
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    • pp.9-12
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    • 2006
  • A new voltage-scaled compensation pixel which employs 3 p-type poly-Si TFTs and 2 capacitors without additional control line has been proposed and verified. The proposed pixel does not employ the $V_{TH}$ memorizing and cancellation, but scales down the inevitable $V_{TH}$ variation of poly-Si TFT. Also the troublesome narrow input range of $V_{DATA}$ is increased and the $V_{DD}$ supply voltage drop is suppressed. In our experimental results, the OLED current error is successfully compensated by easily controlling the proposed voltage scaling effects.

Noise Reduction Algorithm of Salt-and-Pepper Using Reliability-based Weighted Mean Filter (복원화소의 신뢰도 기반 가중 평균 필터를 활용한 Salt-and-Pepper 잡음 제거 알고리즘)

  • Kim, Donghyung
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.17 no.2
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    • pp.1-11
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    • 2021
  • Salt and pepper is a type of impulse noise. It may appear due to an error in the image transmission process and image storage memory. This noise changes the pixel value at any position in the image to 0 (in case of pepper noise) or 255 (in case of salt noise). In this paper, we present an algorithm for SAP noise reduction. The proposed method consists of three steps. In the first step, the location of the SAP noise is detected, and in the second step, the pixel value of the detected location is restored using a weighted average of the surrounding pixel values. In the last step, a reliability matrix around the reconstructed pixels is constructed, and additional correction is performed with a weighted average using this. As a result of the experiment, the proposed method appears to have similar or higher objective and subjective image quality than previous methods for almost all SAP noise ratios.

Design of Low Power LTPS AMOLED Panel and Pixel Compensation Circuit with High Aperture Ratio (고 개구율 화소보상회로를 갖는 저전력 LTPS AMOLED 패널 설계)

  • Kang, Hong-Seok;Woo, Doo-Hyung
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.47 no.10
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    • pp.34-41
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    • 2010
  • We proposed the new pixel compensation circuit with high aperture ratio and the driving method for the large-area, low-power AMOLED applications in this study. We designed with the low-temperature poly-silicon(LTPS) thin film transistors(TFTs) that has poor uniformity but good mobility and stability. To lower the error rate of the pixel circuit and to improve the aperture ratio for bottom emission method, we simplified the pixel compensation circuit. Because the proposed pixel compensation circuit with high aperture ratio has very low contrast ratio for conventional driving methods, we proposed the new driving method and circuit for high contrast ratio. Black data insertion was introduced to improve the characteristics for moving images. The pixel circuit was designed for 19.6" WXGA bottom-emission AMOLED panel, and the average aperture ratio of the pixel circuit is improved from 33.0% to 41.9%. For the TFT's $V_{TH}$ variation of ${\pm}0.2\;V$, the non-uniformity and contrast ratio of the designed panel was estimated under 6% and over 100000:1 respectively.

Truncation Error Problem of Error Diffusion Method (오차 확산 방법의 절삭 오차 문제)

  • Jho, Cheung-Woon
    • Journal of Advanced Navigation Technology
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    • v.15 no.5
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    • pp.850-856
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    • 2011
  • The error diffusion method is one of the digital halftoning methods that diffuses quantization errors of current processing pixel to neighboring pixels and get a high-quality black-white image. This method has the problematic case which partially increase or decrease summation of diffused errors in the process of diffusing the quantization error. In this paper, we analyze Floyd-Steinberg method, Jarvis-Judice-Ninke method, Stucki method, and Shiau-Fan method as a representative case of error diffusion methods and propose a solution method of this problem.

Pixel-level prediction of velocity vectors on hull surface based on convolutional neural network (합성곱 신경망 기반 선체 표면 유동 속도의 픽셀 수준 예측)

  • Jeongbeom Seo;Dayeon Kim;Inwon Lee
    • Journal of the Korean Society of Visualization
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    • v.21 no.1
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    • pp.18-25
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    • 2023
  • In these days, high dimensional data prediction technology based on neural network shows compelling results in many different kind of field including engineering. Especially, a lot of variants of convolution neural network are widely utilized to develop pixel level prediction model for high dimensional data such as picture, or physical field value from the sensors. In this study, velocity vector field of ideal flow on ship surface is estimated on pixel level by Unet. First, potential flow analysis was conducted for the set of hull form data which are generated by hull form transformation method. Thereafter, four different neural network with a U-shape structure were conFig.d to train velocity vectors at the node position of pre-processed hull form data. As a result, for the test hull forms, it was confirmed that the network with short skip-connection gives the most accurate prediction results of streamlines and velocity magnitude. And the results also have a good agreement with potential flow analysis results. However, in some cases which don't have nothing in common with training data in terms of speed or shape, the network has relatively high error at the region of large curvature.

Halftone Image Watermarking Based on Iterative Error Minimizing Method (반복적인 에러 최소화 기법을 이용한 하프톤 영상 워터마킹)

  • 천인국
    • Journal of Korea Multimedia Society
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    • v.7 no.3
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    • pp.327-339
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    • 2004
  • In this paper, we propose a new watermark algorithm for halftone images using iterative error minimizing method. In the proposed method, watermark bits are hidden at pseudo-random locations within a halftone image. To remove the distortions due to the inserted watermark bits and increase the invisibility of watermark, an iterative error minimizing technique is used. We define the halftoning error is defined as the difference between the original grayscale image and HVS-filtered printed halftone image. Then we iteratively find the pixel pattern with minimum halftoning error and displace the original pixel pattern with it. In order to be robust to geometrical modification like cropping or rotation, we insert the same watermark periodically into halftone images. Experiments using printed and scanned images show that the proposed method is a robust method to the geometrical modification and to hide the large amount of data within a halftone image without noticeable distortion.

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