• Journal of the Optical Society of Korea
• /
• 제18권6호
• /
• pp.809-817
• /
• 2014

The loss in contrast-discrimination ability of the human visual system under high ambient illumination level can cause image quality degradation in mobile phones. In this paper, we propose a perceived contrast compensation method by processing the original displayed image. With consideration that the perceived contrast significantly varies across the image, this method extracts the local band contrast from the original image; it then compensates these contrast components to counteract the perceived contrast degradation. Experimental results demonstrate that this method can maintain most contrast details even in high ambient illumination levels.

• 한국정보디스플레이학회:학술대회논문집
• /
• 한국정보디스플레이학회 2009년도 9th International Meeting on Information Display
• /
• pp.1160-1163
• /
• 2009

Many researches showed that perceived image contrast increases as the relative surround luminance increases. However, most experiments were conducted under limited surround conditions. In this research, a psychophysical experiment was conducted to investigate the change in perceived image contrast under wide range of surround luminance up to 1820 cd/$m^2$. A large area illuminator was used as a backlight. It consists of 23 dimmable fluorescent lamps and a sheet of diffuser. The luminance could be adjusted to 7 different surround ratios: 0, 0.3, 0.56, 0.96, 2.24, 5.81, and 9.99. Results showed that perceived image contrast changes as a typical band-pass shape and the maximum contrast is found near $S_R$=1.

• Journal of the Optical Society of Korea
• /
• 제18권1호
• /
• pp.89-94
• /
• 2014

It is established that the perceived image contrast is affected by surround luminance. In order to get the same perceived image contrast, the optimum surround compensation ratios for those surround conditions is needed. Much research has been performed for dark, dim, and average surrounds. In this study, a wide range of surround luminance from dark up to $2087cd/m^2$ was considered. Using magnitude estimation method, the change in perceived brightness of six test stimuli was measured under seven surround conditions; dark, dim, 2 levels of average, bright, and 2 levels of over-bright surrounds. To drive the perceived image contrast from the perceived brightness, two different definitions of contrast were tested. Their calculated results were compared with the visual data of our previous work. And to conclude, the perceived contrast compensation ratios were 1:1.11:1.2 for average, dim and dark surrounds. These were close to CIECAM02 model (1:1.17:1.31). Besides, for average, bright, over-bright1 and over-bright2 surrounds the ratios 1:1.17:1.42:1.69 were determined. For intermediate or more extreme surround conditions, the compensation ratio was obtained from the linear interpolation or extrapolation.

• 한국정보디스플레이학회:학술대회논문집
• /
• 한국정보디스플레이학회 2008년도 International Meeting on Information Display
• /
• pp.745-748
• /
• 2008

The theory of Bartleson and Breneman that the perceived image contrast changes with surround luminance (the lighter surround provides higher contrast) was tested an over bright condition($8500d/m^2$). Contrarily to the Bartleson and Breneman's results, we observed the fact that perceived constrast was decreased when surround huminance increased from dark to over bright through two sets of psychophysical experiments based upon both uniform gray patches and complex color images.

• 한국의류학회지
• /
• 제30권4호
• /
• pp.633-643
• /
• 2006

When women are exposed to images of other attractive women such as media models, it is known that many go through a social comparison process and a contrast effect occurs which results in unfavorable perception and attitudes toward the self. This paper suggests women's perception of control over their appearance as one of the factors that may moderate the contrast effect of a social comparison with attractive media models. An experiment with 211 women was conducted to examine the differential effect of viewing attractive models versus non-human images on the responses of women with high/low perceived control over appearance. A two(Stimuli Type: attractive-model image vs. non-human image) by two(Perceived Control over Appearance: High vs. Low) MANCOVA model was tested with physical appearance anxiety, self-esteem, and body satisfaction as dependent variables and appearance orientation, body mass index, age, years of schooling, ethnicity, and marital status as covariates. A significant Perceived Control main effect on Physical Appearance Anxiety and Self-Esteem and a significant Stimuli Type by Perceived Control interaction effect on Physical Appearance Anxiety and Self-Esteem were found. Those who perceived high control over their appearance were more likely to have higher self-esteem and lower appearance anxiety. However, among those who saw attractive model's images, women perceived low appearance control showed less anxiety and higher body satisfaction than those perceived high appearance control.

• 전자공학회논문지
• /
• 제51권12호
• /
• pp.140-149
• /
• 2014

최근 초고해상도 디스플레이의 개발로 영상의 화질 향상에 관한 연구가 활발히 이루어지고 있다. 기존의 화질 향상 방법은 대비와 디테일을 동시에 향상시키는 과정에서 경계 영역을 중심으로 대비의 역전현상이 발생하는 문제가 있다. 본 논문은 영상의 화질 향상을 향상하는 과정에서 계층적 정보와 경계 영역의 밝기편차를 고려함으로써 이를 해결하고자 하였다. 먼저 크기가 다른 계층들에 대하여 블록의 크기별로 대비를 향상한다. 다음으로 각 블록별 경계영역을 계산하고 해당 영역의 밝기 변화율을 기반으로 가중치를 결정한다. 결정된 가중치를 이용하여 디테일 향상을 수행한다. 다양한 영상에 대하여 실험한 결과 제안한 알고리즘의 대비 및 디테일이 우수함을 확인하였다.

• 품질경영학회지
• /
• 제44권3호
• /
• pp.527-540
• /
• 2016

Purpose: The purpose of this study was to propose contrast metric which is based on the human visual perception and thus it can be used to improve the quality of digital images in many applications. Methods: Previous literatures are surveyed, and then the proposed method is modeled based on Human Visual System(HVS) such as multiscale property of the contrast sensitivity function (CSF), contrast constancy property (suprathreshold), color channel property. Furthermore, experiments using digital images are shown to prove the effectiveness of the method. Results: The results of this study are as follows; regarding the proposed contrast measure of complex images, it was found by experiments that HVS follows relatively well compared to the previous contrast measurement. Conclusion: This study shows the effectiveness on how to measure the contrast of complex images which follows human perception better than other methods.

• 전자공학회논문지B
• /
• 제29B권11호
• /
• pp.93-101
• /
• 1992

HVS based transform coding techniques for still images take the lowest spatial frequency and luminance contrast sensitivity as the most crucial factors in determining the image quality perceived by human eye. Only the frequency weighting has been main issue. The proposed Weighted Discrete Cosine Transform (WDCT) has the lowest frequency of about 4 [cyc/deg] in 8$\times$8 subblock with the contrast-weighted DC coefficient. The error criteria have been rederived to adapt the contrast weighting for performance evaluation. The proposed scheme has produced higher quality images compared to the unweighted and other schemes.

• 한국의류학회지
• /
• 제36권11호
• /
• pp.1137-1147
• /
• 2012

Self-congruency plays an important role in the context of mothers' shopping for children's clothing because purchasers are inconsistent with users. This study incorporates three dimensions of self-congruencies (congruency between children's image perceived by their mothers and brand image, congruency between mothers' actual self-image and brand image, and congruency between mothers' ideal self-image and brand image) due to purchaser-user inconsistency in children's clothing consumption. A total of 574 mothers with children aged 6 to 10 participated in a web-based survey. Descriptive statistical analysis, factor analysis, reliability analysis and multiple regression analysis were conducted. Self-brand image congruency variables have a different influence on brand attitudes when mothers purchase children's clothing. Brand attitude is influenced positively only when the perceived children's image coincides with brand image and when mothers' ideal self-image corresponds to brand image. In contrast, mothers' actual self-image and brand image congruence negatively influence brand attitude. Further investigation indicates that there are different effects of dimensions of self-congruency on brand attitude according to the characteristics of mothers and their children. This study suggests that when there is purchaser-user inconsistency, different types of image congruence has to be implemented to assess the impact on brand attitudes.

• 방송공학회논문지
• /
• 제22권4호
• /
• pp.496-508
• /
• 2017

본 논문은 전역적 대비를 보존하는 동시에 경계 정보를 정확히 보존할 수 있는 혼합 톤 매핑 기법 (Tone Mapping Operator: TMO)을 제안한다. 우선, 넓은 동적 영역 (High Dynamic Rangae: HDR) 영상을 낮은 동적 영역 (Low Dynamic Range: LDR) 디스플레이에 적합하게 압축하기 위해 인간의 시각 시스템 (Human Visual System: HVS)에 기반한 임계 값 대 밝기 값 (Threshold vs. Intensity: TVI) 함수와 영상의 대비를 사용하였으며 이에 따라 영상의 전역적인 대비를 보존할 수 있었다. 또한, 가이디드 영상 필터링 (Guided Image Filtering: GIF)을 이용하여 검출된 경계 정보와 변화감지역 (Just Noticeable Difference: JND) 모델의 공간적 마스킹을 이용하여 검출된 경계 정보를 결합함으로써 영상의 경계를 보존하고 출력 영상의 인지적 화질을 향상시켰다. 기존에 TMO들은 크게 전역적 톤 매핑 (Global Tone Mapping: GTM)과 지역적 톤 매핑 (Local Tone Mapping: LTM)으로 분류되었다. GTM은 전역적인 대비를 보존하며 구현이 단순해 실행시간이 빠르다는 장점이 있지만 영상의 경계 정보가 손실되며 지역적 대비를 보존하지 못하는 단점이 있었다. 반면 LTM은 영상의 지역적 대비와 경계 정보를 잘 보존하였지만 경계 영역에서의 헤일로 열화 현상의 발생과 같이 일부 영역이 부자연스럽게 표현되는 경우가 발생하였으며 GTM과 비교하여 높은 계산 복잡도를 가졌다. 따라서 본 논문에서는 GTM과 LTM의 장점을 결합하여 전역적인 대비를 보존하는 동시에 영상의 경계 정보를 보존하는 TMO를 제안하였으며 실험결과를 통해 제안하는 톤 매핑 기법이 인지적 화질 측면에서 성능이 우수한 것으로 확인되었다.