• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.8
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• pp.2913-2929
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• 2014

Traditional vector quantization (VQ) schemes encode image blocks as VQ indices, in which there is significant similarity between the image block and the codeword of the VQ index. Thus, the method can compress an image and maintain good image quality. This paper proposes a novel lossless VQ indices compression algorithm to further compress the VQ index table. Our scheme exploits the high correlation of adjacent image blocks to search for the same VQ index with the current encoding index from the neighboring indices. To increase compression efficiency, codewords in the codebook are sorted according to the degree of similarity of adjacent VQ indices to generate a state codebook to find the same index with the current encoding index. Note that the repetition indices both on the search path and in the state codebooks are excluded to increase the possibility for matching the current encoding index. Experimental results illustrated the superiority of our scheme over other compression schemes in the index domain.

• Journal of the Korean Society of Costume
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• v.52 no.4
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• pp.125-139
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• 2002

This research was conducted to develop soccer uniform designs for the enforcement of the identity of Korea. Throughout the development of the image of Taeguek and the pattern of tiger on the soccer uniform design, it was tried to show colors and symbolic elements representing Korean traditional themes. The contents of the research cover; first, analysis of historic changes in Korean uniform design for the representative soccer players and uniform designs of the soccer players in other countries; second, analysis of the image of Taeguek and the pattern of tiger; third, analysis of the surveys of professional soccer players; and forth, uniform designs proposed and evaluation. To develope new uniform designs, Taeguek and tiger motives were adopted to express the identity of Korea by looking at the analysis of uniforms in countries including Korea. In an addition, today's fashion trends of active sportswear were analyzed to get the new idea of design. With considering the surveys of the professional soccer players in Korea, the functional designs identifying the Korean image could have come out. As a results of this research new designs of national soccer players' uniform including 4 designs for the motif of Taeguek, 4 designs for the motif of guae, 4 designs for colors of Taeguek, 4 designs for the motif of Tiger were developed, and 2 samples were made. Surveys for evaluation comparing new design & present uniform were progressed. An aesthetic and symbolic aspects of new design were better than present uniform regarding this survey.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.5
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• pp.2326-2345
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• 2016

For the compression of color images, a common bitmap usually is generated to replace the three individual bitmaps that originate from block truncation coding (BTC) of the R, G and B channels. However, common bitmaps generated by some traditional schemes are not the best possible because they do not consider the minimized distortion of the entire color image. In this paper, we propose a near-optimized common bitmap scheme for BTC using Binary Ant Colony Optimization (BACO), producing a BACO-BTC scheme. First, the color image is compressed by the BTC algorithm to get three individual bitmaps, and three pairs of quantization values for the R, G, and B channels. Second, a near-optimized common bitmap is generated with minimized distortion of the entire color image based on the idea of BACO. Finally, the color image is reconstructed easily by the corresponding quantization values according to the common bitmap. The experimental results confirmed that reconstructed image of the proposed scheme has better visual quality and less computational complexity than the referenced schemes.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.12
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• pp.5643-5656
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• 2016

The detection accuracy of steganalysis depends on many factors, including the embedding algorithm, the payload size, the steganalysis feature space and the properties of the cover source. In practice, the cover source mismatch (CSM) problem has been recognized as the single most important factor negatively affecting the performance. To address this problem, we propose a new framework for blind, universal steganalysis which uses traditional steganalyst features. Firstly, cover images with the same statistical properties are searched from a reference image database as aided samples. The test image and its aided samples form a whole test set. Then, by assuming that most of the aided samples are innocent, we conduct outlier detection on the test set to judge the test image as cover or stego. In this way, the framework has removed the need for training. Hence, it does not suffer from cover source mismatch. Because it performs anomaly detection rather than classification, this method is totally unsupervised. The results in our study show that this framework works superior than one-class support vector machine and the outlier detector without considering the image retrieval process.

• Management & Information Systems Review
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• v.15
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• pp.51-69
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• 2004

Local universities are faced with rapid environmental changes in 2000's. Therefore local universities are required to research for more specialized marketing strategy such as positioning strategy. The objectives of this study are to examine what are the most important university images and image position of 7 universities'. In order to this study, 276 questionnaires collected from university in Busan area are analyzed by t-test, anova. The results of this study are summarized as follows (1) the most important university images are ranked in the order 1) prospect of getting employment(4.78), 2) possibility of development (4.35), 3) confidence(4.31), 4) research ability(3.97). It is true that practical images get high grade, traditional image such as research ability remains yet as a very import image. (2) Except (A, F) & (B, E) university, common position is not found among the 7 universities, therefore each university cultivate important image as G university dose. (3) Private university are underestimated by student of national university. There is a necessity for cultivating and promoting private university images. (4) Students of private university, particularly students of F university, overestimated their university images seriously.

• Journal of the Korean Society of Costume
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• v.63 no.5
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• pp.115-131
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• 2013

Dries Van Noten, one of the Antwerp Six, focused on recreating traditional attire from each region to complex contemporary attire and has shown designs that interpreted ethnic image in contemporary perspective from his very first collection. He has positioned himself as a designer with creative expression of ethnic image through broad use of various patterns. This paper analyze the use of pattern in Dries Van Noten's designs by season and item, and reflects on the characteristics of pattern use and influence on fashion image. Total of 887 clothing items were collected from Noten's collections on the Internet. Through analysis of frequency and percentage and cross tab of expression techniques, types, patterns of each motif, and classifications of print combinations, it was shown that Noten has applied six aesthetic rules in the use of pattern design. Pattern played the most significant role in his design. It was possible to achieve the balance of ethnic image and modern image with the mix of flower and abstract motives. Overall pattern was mostly used for practical purpose: border patterns and spaced patterns played a vital role in rendering uniqueness. Noten exhibited unity and variation in combining prints. He expressed the beauty of Oriental style by inserting solid color blocks in between patterns and decorations along trim lines.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.4241-4254
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• 2019

The efficiency and accuracy of handwriting measurement could be improved by adopting digital image processing. This study developed a computer-based Korean Handwriting Assessment tool. Second graders participated in this study by performing writing tasks of consonants, vowels, words, and sentences. We extracted boundary parameters for each letter using digital image processing and calculated the variables of size, size coefficient of variation (CV), misalignment, inter-letter space, inter-word space, and ratio of inter-letter space to inter-word space. Children were also administered traditional handwriting and visuomotor tests. Digital variables from image processing were correlated with these previous tests. Using these correlations, we established a three-point scoring system that computed test scores for each variable. We analyzed inter-rater reliability between the computer rater and human rater and test-retest reliability between the first and second performances. The validity was examined by analyzing the relationship between the Korean Handwriting Assessment and previous handwriting and visuomotor tests. We suggested the Korean Handwriting Assessment to measure size, size consistency, misalignment, inter-letter space, inter-word space, and space ratio using digital image processing. This Korean Handwriting Assessment tool proved to have reliability and validity. It is expected to be useful for assessing children's handwriting.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.303-316
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• 2021

Digital content protection has recently become an important requirement in biometrics-based authentication systems due to the challenges involved in designing a feasible and effective user authentication method. Biometric approaches are more effective than traditional methods, and simultaneously, they cannot be considered entirely reliable. This study develops a reliable and trustworthy method for verifying that the owner of the biometric traits is the actual user and not an impostor. Watermarking-based approaches are developed using a combination of a color face image of the user and a mobile equipment identifier (MEID). Employing watermark techniques that cannot be easily removed or destroyed, a blind image watermarking scheme based on fast discrete curvelet transform (FDCuT) and discrete cosine transform (DCT) is proposed. FDCuT is applied to the color face image to obtain various frequency coefficients of the image curvelet decomposition, and for high frequency curvelet coefficients DCT is applied to obtain various frequency coefficients. Furthermore, mid-band frequency coefficients are modified using two uncorrelated noise sequences with the MEID watermark bits to obtain a watermarked image. An analysis is carried out to verify the performance of the proposed schema using conventional performance metrics. Compared with an existing approach, the proposed approach is better able to protect multimedia data from unauthorized access and will effectively prevent anyone other than the actual user from using the identity or images.

• Journal of Korea Multimedia Society
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• v.24 no.2
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• pp.178-185
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• 2021

Three-dimensional high-resolution magnetic resonance imaging (MRI) provides fine-level anatomical information for disease diagnosis. However, there is a limitation in obtaining high resolution due to the long scan time for wide spatial coverage. Therefore, in order to obtain a clear high-resolution(HR) image in a wide spatial coverage, a super-resolution technology that converts a low-resolution(LR) MRI image into a high-resolution is required. In this paper, we propose a super-resolution technique through filter learning based on information on the surrounding gradient information in 3D space from 3D MRI images. In the learning step, the gradient features of each voxel are computed through eigen-decomposition from 3D patch. Based on these features, we get the learned filters that minimize the difference of intensity between pairs of LR and HR images for similar features. In test step, the gradient feature of the patch is obtained for each voxel, and the filter is applied by selecting a filter corresponding to the feature closest to it. As a result of learning 100 T1 brain MRI images of HCP which is publicly opened, we showed that the performance improved by up to about 11% compared to the traditional interpolation method.

• International Journal of Advanced Culture Technology
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• v.12 no.2
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• pp.16-29
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• 2024

Mogao Grottoes in Dunhuang, China is one of the world cultural heritage, is the largest ancient grottoes art group in the world, and is a natural and cultural place with outstanding universal value for mankind all over the world. Dunhuang music and dance derived from the murals of Mogao Grottoes is an artistic representation of its thousand-year-old glorious history and an indispensable historical material for research. As one of the iconic images of Dunhuang music and dance, the "rebound lute behind the back" dance posture has unique charm value both in the original mural composition and the stage image. This paper analyzes the characters holding pipa in Dunhuang murals by case analysis, comparative research and other relevant research methods, then studies the stage image and posture of "rebound lute behind the back", and finally analyzes the stage works of "rebound lute behind the back". It is concluded that the dance image of "rebound lute behind the back" is a dynamic stage art work gradually formed by artists from the static Dunhuang murals through refining, developing, processing and transforming. This is to revive the image of Dunhuang music and dance murals, to provide reference and reference for the inheritance and development of Dunhuang culture, and then to enhance and enrich the artistic value of excellent traditional Chinese culture and world cultural heritage.