• Proceedings of the IEEK Conference
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• 1999.06a
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• pp.569-574
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• 1999

New methods for both color palette design and dithering based on human visual system (HVS) characteristics are proposed. Color quantization for palette design uses the relative visual sensitivity and spatial masking effect of HVS. The dithering operation for printing uses nonlinear quantization, which considers the overlapping phenomena among neighbor printing dots, and then a modified dot-diffusion algorithm is followed to compensate the degradation produced in the quantization process. The proposed techniques can produce high quality image in the low-bit color devices.

• 한국정보디스플레이학회:학술대회논문집
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• 2004.08a
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• pp.389-392
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• 2004

A new dithering algorithm, "Hi-FRC", to enable full (16,777,216) color display on LCD panel with 6-bit source D-IC's is presented. The conventional FRC can display only 16,194,277 colors. In addition, The LCD panel with Hi-FRC can meet the color grayscale linearity of TCO '03 because it can improve the color shift problem.

• Proceedings of the KIEE Conference
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• 2002.11c
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• pp.581-584
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• 2002

In this study, an algorithm for dithering true color image to 8-bit indexded color image using Artificial Neural Network was proposed. An adaptive vector quantization algorithm based on Artificial neural network was proposed for dithering color images. To evaluate the proposed algorithm, Mean Square Error(MSE) and quality between original image and dithered image was compared to those of other algorithm. As a results, MSE of proposed algorithm was lower than that of other algorithm used in commercial application and quality of dithered image was also highly improved.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.6
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• pp.137-146
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• 1998

Recently many devices print electronic images in a variety of ways. The reproduced color, however, is different from the original color because of the difference of hardware characteristics. To maintain device independent color, gamut mapping method is proposed. The proposed color gamut mapping uses nonlinear intensity mapping and clipping for saturation mapping on HSI color space. In the dithering operation, expanded nonlinear ordered dithering and modified error diffusion are proposed. The proposed ordered dithering uses expanded nonlinear quantization which considers overlapping phenomena of neighbored printing dots. In the modified error diffusion, quantization errors to be diffused are adjusted to improve both image blur and color change produced in the error diffusion. So, the printed image is similar to the image of monitor. Our results indicate that proposed algorithm can produce high quality image in the low bit color devices.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.3
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• pp.88-95
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• 1996

Recently, the use of color data is growing fast in the area of image processing. To represent full resolution image on a limited output device, image has to be quantized an dithered. So, many dithering techniques are foundd in the printing. In this paper, we propose nonlinear quantization to consider the overlapping phenomena of neighboring printing dots and modified dot diffusion algorithm to compensate the color degradation produced in the quantization process. In the modified dot-diffusion quantization errors to be diffused are adjusted to improve both image blur and color change produced in the dot diffusion. The printed image obtained by the proposed color dithering method has higher visual quality an less color degradation than the images by conventional printing method.

• Proceedings of the IEEK Conference
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• 2000.11d
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• pp.231-234
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• 2000

This paper has been studied a method that effectively displaying color image to monochromatic display such as PDA and movable-phone. Generally, the Floyd-Steinberg dithering algorithm has been used in this area and its' effectiveness were well known. But it shows some ugly patterns in white area and also shows some directionality in vertical and horizontal directions. To reduce those directionality, I suggest the error diffusion direction to be rotated randomly according to the bit value of the current position. This can also mitigate some ugly pattern in white area

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1997.11a
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• pp.146-151
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• 1997

Recntly many devics print electronic images in a variety of ways. But the reproduced color, gamut mappung method and expanded nonlinear quantization are proposed. The color gamut mapping uses saturation mapping of HSI color space. Dithering operation for printing uses expanded nonlinear quantization which considers overlapping phenomena of neighboring printing dots. So the printed image is similar to the image of monitor and can produce high quality image in the low bit color devices.

• Journal of the Korea Society of Computer and Information
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• v.8 no.2
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• pp.82-87
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• 2003

In this paper, the color matching algorithm is Proposed for stitching machine. The matched embroidery color threads are selected by using the proposed algorithm from a computer files which is designed on the computer or scanned from the drawings designed by an artist. The proposed algorithm finds the best matching nearest colors from the given embroidery color threads . The multiple candidates owing to have the equal distance in the CIE color space are further processed to find nearest dominant color. The color dithering method will be useful for reproducing original design with high fidelity.

• 한국정보디스플레이학회:학술대회논문집
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• 2007.08a
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• pp.997-1000
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• 2007

Achieving white balance is one of the key issues for LCD image quality enhancement. A well-known color correction algorithm is Accurate Color Capture (ACC). Determination of ACC correction values has been time consuming as past methods have required trial-and-error analysis of differences between predicted and measured values. We propose a new ACC value determination method that uses spatially emulated patterns and measured values on patterns.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.3
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• pp.247-257
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• 2001

New methods are proposed for printing a full resolution image on a limited output device. The proposed algorithm uses a dot-pattern database that models overlapping phenomena among neighbor printing dots. To solve the problem of dot-overlap, the gray levels of dot-pattern sets were calculated using a circular dot-overlap model and then measured by a spectrometer. Thereafter, in order to improve the visual quality of the color dithering, the contrast sensitivity function of the human visual system was used. As a result, the optimal dot-pattern can be selected from the database. Consequently, the proposed algorithm can produce high quality images while using low-cost color devices.