• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.3
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• pp.616-621
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• 2005

In this paper. digital watermarking algorithm based on human visual system and transform domain is presented. Firstly, original image is separated into RGB thannels, watermark is embedded into the coefficients of DCT so as to consider a contrast sensitivity and texture degrees. In preprocessing, DCT domain based transform is involved and binary image of visually recognizable patterns is utilized as a watermark. Consequently, experimental results showed that proposed algorithm is robust and imperceptibility such destruction attack as JPEG compression.

• Proceedings of the KSRS Conference
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• 1998.09a
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• pp.159-162
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• 1998

Land cover and land use classification on a huge scale, e.g. national or continental scale, has become more and more important because environmental researches need land cover: And land use data on such scales. We developed a crop field extraction method, which is one of the steps in our land cover classification system for a huge area. Firstly, a crop field model is defined to characterize "crop field" in terms of NDVI value and textual information Textual information is represented by the density of straight lines which are extracted by wavelet transform. Secondly, candidates of NDVI threshold value are determined by "scale-space filtering" method. The most appropriate threshold value among the candidates is determined by evaluating the line density of the area extracted by the threshold value. Finally, the crop field is extracted by applying level slicing to Landsat TM image with the threshold value determined above. The experiment demonstrates that the extracted area by this method coincides very well with the one extracted by visual interpretation.

• Journal of the Korea Computer Graphics Society
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• v.9 no.1
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• pp.19-27
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• 2003

Most interaction schemes in virtual environment are indirect in one way or another. ln particular, without a haptic device (which introduces its own problems due to its cumbersomeness), users must rely on visual (or/and aural) feedback, and can not directly appreciate the 3Dness of the interaction object even with stereoscopy. This causes a drop in object presence because people are used to, for instance, observing objects in one's hand, rotating and manipulating them with physical contact. To alleviate this problem, this paper proposes a hand-held cubic screen, named TangibleScreen, on which the appearance of the target interaction object is projected. We choose the Relief Texture Mapping as the rendering method to correctly generate the viewer dependent textures to be projected on the non-planar surfaces of the TangibleScreen.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.11a
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• pp.8-10
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• 2015

최근 2D 와 3D 콘텐츠의 급격한 수요 증가로 인하여 2D 와 3D 공간에서 사람이 인지하는 물체의 시각적 정보량을 정량화할 필요성이 대두되었다. 본 논문에서는 정보이론에 기초하여 엔트로피 관점에서 2D 와 3D 영상의 시각적 정보량을 측정하는 방법을 제시한다. 시각적 정보량을 측정할 때, 기존의 연구에서는 고려되지 않았던 집중영역(saliency), 시각세포의 불균형으로 인한 주변영역 흐림현상인 포비에이션(foveation), 양안합성(binocular fusion)등 인간의 시각적 특성을 반영하였다는 점에서 기존의 연구들과 차이를 둔다. 2D 콘텐츠의 시각적 엔트로피는 단안시에 근거한 질감(texture) 엔트로피와 깊이 엔트로피로 구성되어 있다. 그리고 3D 콘텐츠의 시각적 엔트로피는 2D 에서의 시각적 엔트로피와 양안시에 의한 깊이 엔트로피를 포함한다. 본 논문의 시각적 엔트로피는 2D 와 3D 영상의 시각적 피로도를 측정할 때 사용될 수 있다.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.3
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• pp.589-599
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• 1997

The purpose of this study was to investigate compostion factor and special qualities of design about Korean clothing image. The 72 samples were obtained from domestic fashion magazines. The questionnaire, which was composed 23 semantic diffrential bi-polar scales, was distributed to 50 female students majoring in Clothing and Textiles. The data were analyzed through factor analysis, anova, scheffe's test, clust analysis. The results were as follows; 1) Through factor analysis about Korean clothing image, 5 factors were identified; elegance, simplicity, femininity, tradition, looseness. 2) By cluster analysis, 3 clusters were determined according to Korean clothing image. Special qualities of design about Korean clothing image showed that there were lots of H silhouette in clothing form, related harmony in color harmony, somewhat rough and crude in texture and simple design in decoration. Top was more or less fit and bottom was found somewhat exaggerated tendency in fitness. 3) As a result of the visual evaluation about Korean clothing image, there were significant differences in all factors.

• The Journal of Korea Robotics Society
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• v.17 no.3
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• pp.314-321
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• 2022

Depth information used in SLAM and visual odometry is essential in robotics. Depth information often obtained from sensors or learned by networks. While learning-based methods have gained popularity, they are mostly limited to RGB images. However, the limitation of RGB images occurs in visually derailed environments. Thermal cameras are in the spotlight as a way to solve these problems. Unlike RGB images, thermal images reliably perceive the environment regardless of the illumination variance but show lacking contrast and texture. This low contrast in the thermal image prohibits an algorithm from effectively learning the underlying scene details. To tackle these challenges, we propose multi-channel remapping for contrast. Our method allows a learning-based depth prediction model to have an accurate depth prediction even in low light conditions. We validate the feasibility and show that our multi-channel remapping method outperforms the existing methods both visually and quantitatively over our dataset.

• International Journal of Computer Science & Network Security
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• v.23 no.5
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• pp.33-40
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• 2023

The mainstay of current image recovery frameworks is Content-Based Image Retrieval (CBIR). The most distinctive retrieval method involves the submission of an image query, after which the system extracts visual characteristics such as shape, color, and texture from the images. Most of the techniques use RGB color space to extract and classify images as it is the default color space of the images when those techniques fail to change the color space of the images. To determine the most effective color space for retrieving images, this research discusses the transformation of RGB to different color spaces, feature extraction, and usage of Convolutional Neural Networks for retrieval.

• Journal of the Korea Society of Computer and Information
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• v.14 no.6
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• pp.65-71
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• 2009

The basic features in the indexing and retrieval of the image is used color, shape, and texture in traditional image retrieval method. We do not use these features and offers a new way. For content-based video indexing and retrieval, visual features used to measure the similarity of the geometric method is presented. This method is called the Radon transform. Without separation, this method is calculated based on the geometric distribution of image. In the experiment has a very good search results.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.6
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• pp.679-691
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• 2002

Volume visualization is an important subarea of scientific visualization, and is concerned with techniques that are effectively used in generating meaningful and visual information from abstract and complex volume datasets, defined in three- or higher-dimensional space. It has been increasingly important in various fields including meteorology, medical science, and computational fluid dynamics, and so on. On the other hand, virtual reality is a research field focusing on various techniques that aid gaining experiences in virtual worlds with visual, auditory and tactile senses. In this paper, we have developed a visualization system for CAVE, an immersive 3D virtual environment system, which generates stereoscopic images from huge human volume datasets in real-time using an improved volume visualization technique. In order to complement the 3D texture-mapping based volume rendering methods, that easily slow down as data sizes increase, our system utilizes an image-based rendering technique to guarantee real-time performance. The system has been designed to offer a variety of user interface functionality for effective visualization. In this article, we present detailed description on our real-time stereoscopic visualization system, and show how the Visible Korean Human dataset is effectively visualized on CAVE.

• Food Science and Preservation
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• v.20 no.6
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• pp.805-809
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• 2013

This study was carried out to investigate the effects and characteristics of sausages with red yeast rice added, particularly the Monascus purpureus KFRI 1134 strains, and to decide the optimal quantity of red yeast rice used. The additional rate of red yeast rice which has been used as a material for reducing nitrite, a coupler in meat products were 0, 1, 3, and 5% (w/w). In terms of the effects of the red yeast rice on the color, texture properties, and sensory characteristics of the sausages, the optimal temperature at which color stability was shown was below $100^{\circ}C$, and the addition of 1% red yeast rice resulted in a distinctly attractive color and increasingly improved the red color in the UV-visual Spectrophotometer analysis. However, the addition of over 1% (w/w) resulted in an unattractive color. The red colors also had strong heat stability. The texture properties and taste of the sausages were not affected by the red yeast rice.