• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.843-844
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• 2008

In this paper, we propose a CIECAM02-based color edge detection method. The proposed method detects color edges with distance metric based on the characteristics of Human Visual System (HVS). The CIECAM02 is inherently strong in considering HVS. We use a vector gradient edge detector in a JCh components with newly proposed distance metric. The proposed method detect edges clearly. We subjectively confirm the performance with clearly enhanced images.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.3
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• pp.10-17
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• 2009

In this paper, we explained the relation between evaluating display device and emotional image quality evaluation in human perceptual view. It is also suggested two emotional image quality evaluation method of display reflecting human visual function. One is the color space of CIECAM02 and the other is capturing moving image. It is necessary to standardize the evaluation methods of image quality based on emotional evaluation.

• Proceedings of the Optical Society of Korea Conference
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• 2004.02a
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• pp.160-163
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• 2004

LUTCHI와 새로이 수집된 CII-Kwak 데이터를 이용하여 테스트한 결과 CIECAM02를 비롯해 현재까지 개발된 주된 color appearance model들이 몇 가지 중요한 color appearance 현상들을 설명하지 못한다는 것이 발견되었다. 본 논문에서는 이러한 문제점을 극복하기위해 새로이 개발된 Kwak03 모델이 소개되었다. Kwak03 모델은 CIECAM02에 기초하고 있으나 achromatic signal에서 cone 신호들의 비율, dynamic response 함수 등 많은 면에서 큰 차이를 보인다. LUTCHI 및 CII-Kwak 데이터를 사용한 테스트 결과 Kwak03가 테스트된 모델들 중 특히 dark surround 하에서 휘도 및 배경색의 변화에 따른 색변화 예측에서 가장 우수한 결과를 보였다.

• 한국정보디스플레이학회:학술대회논문집
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• 2009.10a
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• pp.1154-1157
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• 2009

This template provides you with an example of the The CIE Color Appearance Model (CIECAM02) is now widely used for various digital imaging systems including digital displays. The CIECAM02 were intended to be an empirical model, however, some aspects of the model are closely related to the human color vision mechanism. This paper will discuss the relationship between human color vision and color imaging.

• 한국정보디스플레이학회:학술대회논문집
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• 2007.08b
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• pp.1661-1663
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• 2007

The contrast of display is one of the important specifications. Even if the contrast indicates luminance range which is a capability of the display and is greater in lower luminance or higher luminance, we consider that the greater contrast gets not the better performance. It is not the same value in human visual system. In practice, it is difficult to achieve the full dynamic range seen by human beings using electronic equipment. Therefore, we consider ambient condition and human perception to calculate perceptual contrast using the CIECAM02. In this paper, we propose perceptual contrast that is calculated using the brightness of CIECAM02.

• 한국정보디스플레이학회:학술대회논문집
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• 2008.10a
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• pp.47-50
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• 2008

We propose a new method evaluating the image quality of display devices using the CIECAM02 that is the recently developed CIE color appearance model and provides an extension of the previously recommended CIE color spaces. We develop the evaluation method that quantifies the color reproduction capability, emotional gray scale (gradation), and visual perception contrast (perceptual contrast range) based on the gamut in this model.

• Journal of Korea Multimedia Society
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• v.22 no.1
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• pp.55-61
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• 2019

Almost all 3D displays have a brightness reduction in the 3D mode comparing to the 2D mode. When the brightness is reduced, one of the color attributes, the colorfulness, is decreased. In this case, the viewer feels that the image quality is deteriorated. In this paper, we proposed a method to compensate for the degradation of colorfulness due to brightness reduction in 3D mode for high quality 3D image viewing using the CIECAM02 model and the color correction matrix. As a result of applying the proposed method, we can confirm that the colorfulness is improved in 3D mode.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.2
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• pp.141-147
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• 2015

The contrast of a display is generally evaluated by using the ratio of the minimum luminance to the maximum luminance of the display. However, this contrast ratio is not matched with perceived contrast because it uses only physical characteristic of display without considering human perceptual characteristics. In this paper, the proposed contrast measure that considers perceptually discriminable brightness within the range of display brightness is suggested. First, the range between the minimum and maximum brightness of display in CIECAM02 color space is calculated to measure the length of perceived brightness for the display. Next, brightness ranges which are perceptually same at each brightness level are determined by applying Weber-Fechner ratio and then, the number of brightness values within each brightness range is counted. Finally, perceptually discriminable brightness is defined as the sum of ratio between the number of brightness values in each brightness range and the perceptual contrast length of the display. In the experiments, preference test using various displays with random brightness patches is performed to evaluate perceived contrast. As a result, the proposed measure is more consistent with human perception than the previous contrast measures.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.2
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• pp.133-140
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• 2014

3D stereoscopic display is becoming increasingly common. Most stereoscopic displays still require the viewers to wear 3D glasses to watch 3D contents. As it is widely known, especially in shutter glass method, 3D glasses normally cause to reduce the perceived colorfulness and sharpness considerably as well as brightness. In this paper, we have estimated and analyzed the degradation of perceptual brightness in 3D images viewed through the shutter glasses by using CIECAM02 model. This study focuses on loss of colorfulness and sharpness when PDP-TV is watched at 3D mode in shutter-glass type 3D-TV. We analyze perceptual colorfulness and sharpness of 3D display with glasses and propose a method to compensate 3D colorfulness and sharpness for the best 3D experience.

• Journal of Korea Multimedia Society
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• v.12 no.8
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• pp.1055-1065
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• 2009

High-dynamic-range (HDR) rendering technology changes the range from the broad dynamic range (up to 9 log units) of a luminance, in a real-world scene, to the 8-bit dynamic range which is the common output of a display's dynamic range. One of the techniques, iCAM06 has a superior capacity for making HDR images. iCAM06 is capable of making color appearance predictions of HDR images based on CIECAM02 and incorporating spatial process models in the human visual system (HVS) for contrast enhancement. However there are several problems in the iCAM06, including obscure user controllable factors to be decided. These factors have a serious effect on the output image but users get into difficulty in that they can't find an adequate solution on how to adjust. So a suggested model gives a quantitative formulation for user controllable factors of iCAM06 to find suitable values which corresponds with different viewing conditions, and improves subjective visuality of displayed images for varying illuminations.