• Title/Summary/Keyword: Gray levels

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A Look-Up Table Based Error Diffusion Algorithm for Dynamic False Contour Reduction of Plasma Display Panels

  • Lee, Ho-Seop;Kim, Choon-Woo
    • Journal of Information Display
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    • v.2 no.2
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    • pp.32-38
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    • 2001
  • PDP(plasma display panel) represents the gray levels by the pulse number modulation technique that results in undesirable dynamic false contours on moving images. This paper proposes a LUT(Look-up table) based error diffusion algorithm for reduction of the dynamic false contours. A quantitative measure of the dynamic false contours is defined first. The measure of the dynamic false contours is calculated through simulation of every gray level combination of two consecutive frames. Based on the calculated measures, a modified gray level for a pair of gray levels of two consecutive frames is chosen to reduce the dynamic false contours. The chosen gray levels serve as contents of a gray level conversion LUT. Given a pair of gray levels of two consecutive frames, the gray level of current frame is modified based on the gray level conversion LUT. The new gray level is displayed on PDP. An error diffusion algorithm is, then, applied to compensate for the differences in the gray levels.

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A new Driving Algorithm Design and Implementation for High Efficiency and High Image Quality in PDP (PDP 고효율 고화질 구동 알고리즘 설계 및 FPGA 구현)

  • Cha, Soo-Ik;Lee, Dong-Ho
    • Proceedings of the KIEE Conference
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    • 2005.05a
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    • pp.152-154
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    • 2005
  • This paper proposes the new subfield method to erase reverse gray levels and low gray level contour in AC plasma display panel(PDP). In the conventional method, it is supposed that output luminance levels of a PDP increase regularly. But actual output luminance levels of a PDP increase irregularly. Therefore, conventional methods are unable to effectively reduce low gray-level contours and reverse gray levels. Accordingly, a new subfield method is applied to improve the low gray-level expression in PDP. Conclusively this paper clear proof that a new subfield method can suppress low gray-level contours and reverse gray levels more effectively than conventional methods.

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Binarization Based on the Spatial Correlation of Gray Levles (그레이 레벨의 공간적 상관관계 기반 이진화)

  • Seo, Suk-T.;Son, Seo-H.;Lee, In-K.;Jeong, Hye-C.;Kwon, Soon-H.
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.4
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    • pp.466-471
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    • 2007
  • Conventional thresholding methods including Otsu's thresholding method are based on the gray levels frequency histogram. But the gray levels frequency histogram is obtained by recomposing only frequency information from an input image, where frequency histogram dose not contain any other informations such as the distribution of gray levels and relation between gray levels. Therefore the methods using the gray levels frequency histogram occasionally present inappropriate threshold values because it cannot reflect informations of the given image sufficiently. In this paper, we define a correlation function of gray levels and propose a novel thresholding method using the gray levels frequency histogram and the spatial correlation information. The effectiveness of the proposed method will be shown through comparison with Otsu's thresholding method.

Threshold Selection Method Based on the Distribution of Gray Levels (그레이 레벨의 분포에 기반한 임계값 결정법)

  • Kwon, Soon-H.;Son, Seo-H.;Bae, Jong-I.
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.6
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    • pp.649-654
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    • 2003
  • Most of the conventional image thresholding methods are based on the histogram function of the gray values. In this paper, we present a simple but effective example showing that the histogram-based thresholding methods do not perform well. To overcome the difficulty, the authors propose a new gray level threshold selection method based on the distribution of gray levels in images. Finally, we provide simulation results showing the effectiveness of the proposed threshold selection method through several examples.

Investigation on the Flicker for the Optimal Design of LCD Panel

  • Lee, Jung-Bok;Won, Tae-Young
    • 한국정보디스플레이학회:학술대회논문집
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    • 2007.08a
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    • pp.520-523
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    • 2007
  • In this paper, we present a novel method to minimize flicker and gray scale errors automatically across the entire panel by using a compensation of the gray levels of image. It was realized by image simulation with feedback structure. As a result of simulation, we observed flickers from the simulated image. And we compensated the gray scale levels for original image. The compensated gray scale levels correspond to flickers which are generated by difference of pixel voltage in odd and even frame. And we simulated repetitively the compensated image by our block diagram for reduction flicker. Consequently, we confirmed flickers have been decreased more than 87%. Furthermore, our method provides visualization and valid prediction for improvement of TFT-LCD panel

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A comparison of subtracted images from dental subtraction programs (디지털공제프로그램간의 디지털공제영상 비교)

  • Han Won-Jeong
    • Imaging Science in Dentistry
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    • v.32 no.3
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    • pp.147-151
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    • 2002
  • Purpose: To compare the standard deviation of gray levels on digital subtracted images obtained by different dental subtraction programs. Materials and Methods: Paired periapical films were taken at the lower premolar and molar areas of the phantoms involving human mandible. The bite registration group used Rinn XCP equipment and bite registration material, based on polyvinyl siloxane, for standardization. The no bite registration group used only Rinn XCP equipment. The periapical film images were digitized at 1200 dpi resolution and 256 gray levels by a flat bed scanner with transparency unit. Dental digital subtraction programs used for this study were Subtractor (Biomedisys Co., Korea) and Emago (Oral Diagnostic Systems, The Netherlands). To measure the similarities between the subtracted images, the standard deviations of the gray levels were obtained using a histogram of subtracted images, which were then analyzed statistically. Results: Subtracted images obtained by using the Emago program without manual selection of corresponding points showed the lowest standard deviation of gray levels (p<0.01). And the standard deviation of gray levels was lower in subtracted images in the group of a bite registration than in the group of no use of bite registration (p < 0.01). Conclusion: Digital radiographic subtraction without manual selection of reference points was found to be a convenient and superior method.

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Reduction of Variable Illumination Effect on Pixel Gray-levels of Machine Vision

  • Suh S. R.;Huang J. K.;Kim Y. T.;Yoo S. N.;Choi Y. S.;Sung J. H.
    • Agricultural and Biosystems Engineering
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    • v.5 no.1
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    • pp.5-9
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    • 2004
  • This study was carried out to develop methods of reducing the effect of solar illumination on pixel gray-levels of machine vision for agricultural field use. Two kinds of monochrome CCD cameras with manual and auto-iris lenses were used to take pictures within a range of 15 to 120 klux of solar illumination. A camera having more precise automatic control functions gave much better result. Four kinds of indices using pixel gray-level of the $99\%$ white DRS (diffuse reflectance standard) as a reference were tried to compensate pixel gray-levels of an image for variable illumination. Coefficients of variation of the indices within a range of illumination were used as a criterion for comparison. The study concluded that an index of (A+B)/A, where A is gray-level of the $99\%$ DRS and B is gray-level of the tested material, gave the best consistency in the range of solar illumination.

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A Study on the Reduction of Power Consumption and the Improvement of Motion Blur for OLED Displays (OLED 디스플레이의 전력 저감 및 모션 블러 개선에 관한 연구)

  • Choi, Se-Yoon;Kim, Jin-Sung;Seo, Jeong-Hyun
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.30 no.3
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    • pp.1-8
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    • 2016
  • In this paper, we proposed a new driving scheme to reduce the motion blur and save the power for OLEDs(organic light emitting diodes). We adopted a DVS (dynamic voltage scaling) method to reduce power consumption and the division of TV field to improve motion blur. In the proposed scheme, BEW (Blur Edge Width) was decreased to the ratio of 1/4 compared to the conventional scheme under the optimal conditions. In this scheme, the gray levels to which the DVS method can be applied were divided into much smaller groups depending on the number of subfields. Therefore, our scheme does not guarantee less power consumption for every image compared to the conventional scheme. However, the new scheme can move the gray levels adopting the DVS to higher gray levels. Thus, we can save power even when having images at high gray levels.

Optimization of Color and Gray Scale using Brightness Control in CRT Color Monitor

  • Kim, Hong-Suk;Park, Seung-Ok;Baek, Jung-Ki
    • 한국정보디스플레이학회:학술대회논문집
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    • 2000.01a
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    • pp.75-76
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    • 2000
  • Tone reproduction characteristics of color and gray have a great influence on the picture quality in visual display. In this study, we optimized tone reproduction characteristics of color and gray of CRT monitor by setting brightness to the optimum level, in which offsets for RGB channels can be assumed to zero. The optimum brightness level could be found by measuring a few tones of neutral for the combination of 2 levels of brightness and 2 levels of contrast. As the result, the relationship between normalized DAC count and normalized luminance of primary color or gray has been simply presented by gamma and result in good phosphor constancy.

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Fuzzy Classifier System for Edge Detection

  • Sim, Kwee-Bo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.3 no.1
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    • pp.52-57
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    • 2003
  • In this paper, we propose a Fuzzy Classifier System(FCS) to find a set of fuzzy rules which can carry out the edge detection. The classifier system of Holland can evaluate the usefulness of rules represented by classifiers with repeated learning. FCS makes the classifier system be able to carry out the mapping from continuous inputs to outputs. It is the FCS that applies the method of machine learning to the concept of fuzzy logic. It is that the antecedent and consequent of classifier is same as a fuzzy rule. In this paper, the FCS is the Michigan style. A single fuzzy if-then rule is coded as an individual. The average gray levels which each group of neighbor pixels has are represented into fuzzy set. Then a pixel is decided whether it is edge pixel or not using fuzzy if-then rules. Depending on the average of gray levels, a number of fuzzy rules can be activated, and each rules makes the output. These outputs are aggregated and defuzzified to take new gray value of the pixel. To evaluate this edge detection, we will compare the new gray level of a pixel with gray level obtained by the other edge detection method such as Sobel edge detection. This comparison provides a reinforcement signal for FCS which is reinforcement learning. Also the FCS employs the Genetic Algorithms to make new rules and modify rules when performance of the system needs to be improved.