• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.427-428
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• 2006

This paper presents an image fingerprinting scheme for the print-to-capture model performed by a photo printer and digital camera. When capturing an image by a digital camera, various kinds of distortions such as noise, geometrical distortions, and lens distortions are applied. slightly and simultaneously. In this paper, we consider several steps to extract fingerprints from the distorted image in print-and capture scenario. To embed ID into an image as a fingerprint, multi-bits embedding is applied. We embed 64 bits information as a fingerprint into spatial domain of color images. In order to restore a captured image from distortions a noise reduction filter is performed and a rectilinear tiling pattern is used as a template. To make the template, a multi-bits fingerprint is embedded repeatedly like a tiling pattern. We show that the extracting is successful from the image captured by a digital camera through the experiment.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.615-618
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• 2019

Visual saliency detection is an important part in various vision-based applications. There are a myriad of techniques for saliency detection in color images. However, the number of methods for saliency detection in infrared images is inadequate. In this paper, we introduce a simple approach for pedestrian identification in infrared images using saliency. The input image is thresholded into several Boolean maps, an initial saliency map is then calculated as a weighted sum of created Boolean maps. The initial map is further refined by using thresholding, morphology operation, and Gaussian filter to produce the final, high-quality saliency map. The experiment showed that the proposed method produced high performance results when applied to real-life data.

• Journal of Korea Multimedia Society
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• v.21 no.11
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• pp.1244-1253
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• 2018

The color of traffic light is sensitive to various illumination conditions. Especially it loses the hue information when oversaturation happens on the lighting area. This paper proposes a traffic light recognition method robust to these illumination variations. The method consists of two steps of traffic light detection and recognition. It just uses the intensity and saturation in the first step of traffic light detection. It delays the use of hue information until it reaches to the second step of recognizing the signal of traffic light. We utilized a deep learning technique in the second step. We designed a deep convolutional neural network(DCNN) which is composed of three convolutional networks and two fully connected networks. 12 video clips were used to evaluate the performance of the proposed method. Experimental results show the performance of traffic light detection reporting the precision of 93.9%, the recall of 91.6%, and the recognition accuracy of 89.4%. Considering that the maximum distance between the camera and traffic lights is 70m, the results shows that the proposed method is effective.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.285-291
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• 2022

With the growing exchange of data between individuals and institutions through various electronic communication, valuable data protection is in high demand to ensure that it is not hacked and that privacy is protected. Many security techniques, such as encryption and steganography, have emerged to prevent security breaches. The purpose of this research is to integrate cryptographic and steganography techniques to secure text message sending. The Rijndael algorithm was used to encrypt the text message, and the Least Significant Bit algorithm was also used to hide the encrypted message in a color image. Experiments on the suggested method have proven that it can improve the security of sent messages due to the human eye's inability to identify the original image from the image after it has been covered, as well as the encryption of the message using a password.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.156-165
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• 2021

In this paper, we propose an histogram weighted centroid based Siamese region proposal network for object tracking. The original Siamese region proposal network uses two identical artificial neural networks which take two different images as the inputs and decide whether the same object exist in both input images based on a similarity measure. However, as the Siamese network is pre-trained offline, it experiences many difficulties in the adaptation to various online environments. Therefore, in this paper we propose to incorporate the histogram weighted centroid feature into the Siamese network method to enhance the accuracy of the object tracking. The proposed method uses both the histogram information and the weighted centroid location of the top 10 color regions to decide which of the proposed region should become the next predicted object region.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.295-296
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• 2021

In iris diagnostics, iris changes in its area on the iris map when abnormal changes in human tissues and organs occur in response to changes in color and iris structure. This makes it possible to determine the long-term condition in which an abnormal change has occurred, and to determine the presence or absence of a congenital illness. In this paper, we design a neural network algorithm that is displayed on the iris and classifies lesions by using a convolution neural network that has the advantage of advancing learning using images of various dip-running neural networks.

• Korean Journal of Food Science and Technology
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• v.51 no.6
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• pp.592-595
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• 2019

Paprika (Capsicum annuum L.) contains various phytochemicals, including carotenoids, ascorbic acid, tocopherol, flavonoids, and phenolic compounds, as well as natural food colorants. Very little information is available regarding wine produced from different colored paprikas. The objectives of this study were to prepare wines from red, orange, and yellow paprika and evaluate their physicochemical characteristics. The alcohol concentration, pH, titratable acidity, and reducing sugar content were not significantly affected by the type of paprika. Hunter's color values varied with the color of paprika. The total mineral content and 2,2-diphenyl-1-picrylhydrazyl radical scavenging potential of red paprika wine were significantly higher; however, the total polyphenol content of yellow paprika wine was significantly higher than that of the other wine samples. This study suggested that paprika could be used to prepare wine and red paprika might be appropriate for producing good-quality wine.

• Journal of Satellite, Information and Communications
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• v.9 no.3
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• pp.64-69
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• 2014

Exhibition which was a boring and rigid image once has recently hold a place as an intimate culture to the public such that audiences can feel and participate in exhibition at first hand. Along with this, forms and directions of exhibition become diversified, and various attempts have been made. In addition, with such changes, ways of expressing exhibition contents become diversified as well and ways of inducing sensible and psychological expressions and experience are receiving attention rather than formal and physical expressions. This study aims to provide audiences with ways of being able to more effectively expressing exhibition contents, atmospheres, sensibility and so on by applying lights and colors to in expression of exhibition contents.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.8
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• pp.1203-1214
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• 2009

The theory of household arts and practical acts are two traditional mainstream topics of official South Korean secondary home economics education. The clothing and textile education within the Secondary School Home Economics Textbook (1948) is various and practical. The first year textbook discusses the symbolism and maintenance of uniforms that provides information on the characteristics of cotton. Clothing and textiles are covered in 26 pages out of the 76 page book. The second year textbook includes the theory of color and form, along with the characteristics of flax and silk. Clothing and textile education is covered in 33 pages out of the 97 second year textbook. The third year textbook deals with the characteristics of wool, manufactured fibers, cross weaving, removing stains, clothing arrangements, and equipment; 5 chapters (56 pages out of 137) are spent on clothing and textiles. The fourth year textbook introduces the history of clothing, laundry principles, dyeing, bedclothes, and bed accessories; 4 chapters (63 pages out of 125 pages) are spent on clothing and textiles. The Secondary School Home Economics Textbook (1948) is highly extensive and profound in depth. It is comparable with modern college or specialized high school level clothing and textile education in terms of clothing materials, clothing maintenance, color theories, and dyeing.

• The KIPS Transactions:PartB
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• v.11B no.4
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• pp.527-536
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• 2004

TheReviser is a digital document revision application on a projection display, which allows us to interact a digital document with the same gestures used for paper documents revision. To enable these interactions, TheReviser should detect foreground objects such as hands or pens on a projection display, and should spot and recognize gesture commands from continuous movements of a user. To detect foreground objects from a complex background in various lighting conditions, we perform geometry and color calibration between a captured image and a frame buffer image. TheReviser uses an HMM-based gesture recognition method Experimental results show that the proposed application recognizes user's gestures on average 93.22% in test gesture sequences.