• Journal of International Society for Simulation Surgery
• /
• v.3 no.2
• /
• pp.39-45
• /
• 2016

The augmented reality is the environment which consists of real-world view and information drawn by computer. Since the image which user can see through augmented reality device is a synthetic image composed by real-view and virtual image, it is important to make the virtual image generated by computer well harmonized with real-view image. In this paper, we present reviews of several works about computer vision and graphics methods which give user realistic augmented reality experience. To generate visually harmonized synthetic image which consists of a real and a virtual image, 3D geometry and environmental information such as lighting or material surface reflectivity should be known by the computer. There are lots of computer vision methods which aim to estimate those. We introduce some of the approaches related to acquiring geometric information, lighting environment and material surface properties using monocular or multi-view images. We expect that this paper gives reader's intuition of the computer vision methods for providing a realistic augmented reality experience.

• Korean Parent-Child Health Journal
• /
• v.15 no.1
• /
• pp.33-38
• /
• 2012

Purpose: The family is a primary environment and has pivotal role for child health and development. This study was conducted to identify the relations of family strengths to body image and self-esteem in late school aged children. Methods: Data were collected from 455 children at 5th and 6th grades in four provinces of South Korea using self-report questionnaires for measuring body image, self-esteem, and family strengths. Pearson's correlation analysis and t-test, ANOVA were used to identify the relationships among variables, and compare body image, self-esteem, and family strengths according to general characteristics. Results: Body image, self-esteem and family strengths were significantly different according to economic status and academic performance. Family strengths were also affected by the presence of both parents. Body image, self-esteem and family strengths showed significant positive correlations. Conclusion: The family relations of school aged children are important for child's body image and self-esteem. We recommend that psycho-emotional interventions should be developed for both the children and their parents with low family strengths to improve body image and self-esteem.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.11 no.3
• /
• pp.1700-1721
• /
• 2017

The problem of blocking artifacts is very common in block-based image and video compression, especially at very low bit rates. In this paper, we propose a post-processing method for JPEG-coded image deblocking via sparse representation and adaptive residual threshold. This method includes three steps. First, we obtain the dictionary by online dictionary learning and the compressed images. The dictionary is then modified by the histogram of oriented gradient (HOG) feature descriptor and K-means cluster. Second, an adaptive residual threshold for orthogonal matching pursuit (OMP) is proposed and used for sparse coding by combining blind image blocking assessment. At last, to take advantage of human visual system (HVS), the edge regions of the obtained deblocked image can be further modified by the edge regions of the compressed image. The experimental results show that our proposed method can keep the image more texture and edge information while reducing the image blocking artifacts.

• Journal of the Korean Society of Costume
• /
• v.64 no.3
• /
• pp.142-154
• /
• 2014

The purpose of this study is to classify fashion images of senior women who have emerged as influential customers in the fashion industry. Characteristics of fashion images of senior women are identified by fashion style, preference color, and self-image. With the collected data, the Q group, consisting of Korean women who are in their 50s, was targeted using the Q methodology. The following factors were evaluated through in-depth interviews: fashion style, preference color and self-image. The fashion images of senior women were classified into the following 4 types: Characteristic modern, Reasonable basic, Comfortable contemporary, and Conservative elegance. Those classified fashion image types were influenced by the factors of nobleness, usefulness, personality, fashionableness, and youthfulness in accordance with fashion style, preference color, and self-image. The results of this study may provide basic information for fashion image planning for senior women and meaningful data for redefining and diversifying the concept of senior fashion brand which reflects the generation's changed taste and lifestyle.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.12
• /
• pp.5170-5188
• /
• 2015

This paper proposes a novel progressive secret image-hiding scheme based on the inpainting technique, the vector quantization technique (VQ) and the exploiting modification direction (EMD) technique. The proposed scheme first divides the secret image into non-overlapping blocks and categorizes the blocks into two groups: complex and smooth. The blocks in the complex group are compressed by VQ with PCA sorted codebook to obtain the VQ index table. Instead of embedding the original secret image, the proposed method progressively embeds the VQ index table into the cover images by using the EMD technique. After the receiver recovers the complex parts of the secret image by decoding the VQ index table from the shadow images, the smooth parts can be reconstructed by using the inpainting technique based on the content of the complex parts. The experimental results demonstrate that the proposed scheme not only has the advantage of progressive data hiding, which involves more shadow images joining to recover the secret image so as to produce a higher quality steganography image, but also can achieve high hiding capacity with acceptable recovered image quality.

• Fashion & Textile Research Journal
• /
• v.4 no.3
• /
• pp.243-247
• /
• 2002

The purposes of this study were 1) to investigate school uniform image preferences and the uniform modifications of male and female high school students, and 2) to find the differences between male and female students in the uniform image preferences and uniform modifications. The subjects used for the study were 195 male and 201 female high school students. The uniform image preferences consisted of three factors: comfortable & simple, unique & individual, and intelligent & classic. The uniform modifications were measured by the modifications in jacket width, sleeve length, shoulder width, slacks(skirt) length, slacks(skirt) width, and slacks(skirt) waist length. The results showed that male and female students were different in regard to uniform image preference; male students preferred unique image than did female students in their school uniforms. In addition, male and female students differed concerning uniform modifications. Generally, female students modified uniforms more than did male students. Finally, the study compared male and female students in regard to the relationships between uniform image preferences and the uniform modifications. For male and female students, the unique image preference was significantly related to the modifications in different parts of uniform.

• Journal of Korean Neurosurgical Society
• /
• v.30 no.10
• /
• pp.1182-1186
• /
• 2001

Objectives : MR fluid-attenuated inversion recovery(FLAIR) image uses paired long inversion time and relaxation time that nulls the signal from CSF. With nulling of the CSF long echo time readout could be used to increase T2-weighting, hence improving the conspicuousness of most tissue lesions without the deleterious effects of CSF artifact seen on T2 weighted sequence. We examed the usefulness of FALIR image in the diagnosis of mild head injury. Methods : A total of 38 patients with mild head injury were examined by FLAIR image. We compared those images with CT scan and T1, T2-weighted images. Careful observation of MR images were done by two well-trained neuroradiologists. Each image was compared for conspicuousness and detectability of traumatic lesions might have shown abnormal signal intensities. The Wilcoxon signed ranks test was used for statistical evaluation. Results : The FLAIR image was significantly more sensitive than those of other images(p<0.001). T2 FFE(Fast Field Echo) image was more useful for detection of small petechial hemorrhages. Conclusion : FLAIR image is considered to be more sensitive than those of conventional MR images in the evaluation of mild head injuries.

• Asia pacific journal of information systems
• /
• v.26 no.2
• /
• pp.247-262
• /
• 2016

Almost all Koreans recognize the Dolhareubang as a representative symbol of Jeju. However, as the development of online technology progressed, the image and perception of the Dolhareubang is also expected to change. Thus, this study explored the perceived images of Dolhareubang by focusing on residents in Seoul, Korea using Q methodology. The goal of this research was to evaluate this iconic representation of Jeju as an important component of the island's online tourism destination image. The Q-set was developed from existing literature and defined conceptually in terms of 'value', 'resource', 'story', and 'image'. Thirty five respondents were recruited as P set. Findings indicated four distinctive clusters that perceived the Dolhareubang differently and differences in perceptions were observed in terms of age. The examination of destination image and the exploration of the perceptions of Dolharuebang as a representative of Jeju could contribute to online destination image management or development, which is a crucial component of smart tourism.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.8 no.1
• /
• pp.213-231
• /
• 2014

Existing image search systems allow users to search images by keywords, or by example images through content-based image retrieval (CBIR). On the other hand, users might learn more relevant textual information about an image from its text captions or surrounding contexts within documents or Web pages. Without such contexts, it's difficult to extract semantic description directly from the image content. In this paper, we propose an annotation watermarking system for users to embed text descriptions, and retrieve more relevant textual information from similar images. First, tags associated with an image are converted by two-dimensional code and embedded into the image by discrete wavelet transform (DWT). Next, for images without annotations, similar images can be obtained by CBIR techniques and embedded annotations can be extracted. Specifically, we use global features such as color ratios and dominant sub-image colors for preliminary filtering. Then, local features such as Scale-Invariant Feature Transform (SIFT) descriptors are extracted for similarity matching. This design can achieve good effectiveness with reasonable processing time in practical systems. Our experimental results showed good accuracy in retrieving similar images and extracting relevant tags from similar images.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.8 no.9
• /
• pp.3286-3301
• /
• 2014

Jung and Yoo proposed the first image interpolation-based reversible data hiding algorithm. Although their algorithm achieved superior interpolation results, the embedding capacity was insufficient. Lee and Huang proposed an improved algorithm to enhance the embedding capacity and the interpolation results. However, these algorithms present limitations to magnify the original image to any resolution and pixels in the boundary region of the magnified image are poorly manipulated. Furthermore, the capacity and the image quality can be improved further. This study modifies the pixel mapping scheme and adopts a bilinear interpolation to solve boundary artifacts. The modified reference pixel determination and an optimal pixel adjustment process can effectively enhance the embedding capacity and the image quality. The experimental results show our proposed algorithm achieves a higher embedding capacity under acceptable visual distortions, and can be applied to a magnified image at any resolution. Our proposed technique is feasible in reversible data hiding.