• Korean Journal of Remote Sensing
• /
• v.31 no.1
• /
• pp.1-9
• /
• 2015

Mobility and cloud platform have become the dominant paradigm to develop web services dealing with huge and diverse digital contents for scientific solution or engineering application. These two trends are technically combined into mobile cloud computing environment taking beneficial points from each. The intention of this study is to design and implement a mobile cloud application for remotely sensed image fusion for the further practical geo-based mobile services. In this implementation, the system architecture consists of two parts: mobile web client and cloud application server. Mobile web client is for user interface regarding image fusion application processing and image visualization and for mobile web service of data listing and browsing. Cloud application server works on OpenStack, open source cloud platform. In this part, three server instances are generated as web server instance, tiling server instance, and fusion server instance. With metadata browsing of the processing data, image fusion by Bayesian approach is performed using functions within Orfeo Toolbox (OTB), open source remote sensing library. In addition, similarity of fused images with respect to input image set is estimated by histogram distance metrics. This result can be used as the reference criterion for user parameter choice on Bayesian image fusion. It is thought that the implementation strategy for mobile cloud application based on full open sources provides good points for a mobile service supporting specific remote sensing functions, besides image fusion schemes, by user demands to expand remote sensing application fields.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.11 no.3
• /
• pp.1633-1649
• /
• 2017

In remote sensing image processing, the traditional fusion algorithm is based on the Intensity-Hue-Saturation (IHS) transformation. This method does not take into account the texture or spectrum information, spatial resolution and statistical information of the photos adequately, which leads to spectrum distortion of the image. Although traditional solutions in such application combine manifold methods, the fusion procedure is rather complicated and not suitable for practical operation. In this paper, an improved IHS transformation fusion algorithm based on the local variance weighting scheme is proposed for remote sensing images. In our proposal, firstly, the local variance of the SPOT (which comes from French "Systeme Probatoire d'Observation dela Tarre" and means "earth observing system") image is calculated by using different sliding windows. The optimal window size is then selected with the images being normalized with the optimal window local variance. Secondly, the power exponent is chosen as the mapping function, and the local variance is used to obtain the weight of the I component and match SPOT images. Then we obtain the I' component with the weight, the I component and the matched SPOT images. Finally, the final fusion image is obtained by the inverse Intensity-Hue-Saturation transformation of the I', H and S components. The proposed algorithm has been tested and compared with some other image fusion methods well known in the literature. Simulation result indicates that the proposed algorithm could obtain a superior fused image based on quantitative fusion evaluation indices.

• Journal of Electrical Engineering and Technology
• /
• v.10 no.6
• /
• pp.2384-2392
• /
• 2015

The technical development and practical applications of big-data for health is one hot topic under the banner of big-data. Big-data medical image fusion is one of key problems. A new fusion approach with coding based on Spherical Coordinate Domain (SCD) in Wireless Sensor Network (WSN) for big-data medical image is proposed in this paper. In this approach, the three high-frequency coefficients in wavelet domain of medical image are pre-processed. This pre-processing strategy can reduce the redundant ratio of big-data medical image. Firstly, the high-frequency coefficients are transformed to the spherical coordinate domain to reduce the correlation in the same scale. Then, a multi-scale model product (MSMP) is used to control the shrinkage function so as to make the small wavelet coefficients and some noise removed. The high-frequency parts in spherical coordinate domain are coded by improved SPIHT algorithm. Finally, based on the multi-scale edge of medical image, it can be fused and reconstructed. Experimental results indicate the novel approach is effective and very useful for transmission of big-data medical image(especially, in the wireless environment).

• Proceedings of the Korea Information Processing Society Conference
• /
• 2005.05a
• /
• pp.521-524
• /
• 2005

This paper proposes a fusion algorithm which merges multiple vein pattern images into a single image, larger than those images. As a preprocessing step of template matching, during the verification of biometric data such as fingerprint image, vein pattern image of hand, etc., the fusion technique is used to make reference image larger than the candidate images in order to enhance the matching performance. In this paper, a new algorithm, called BSA (Boundary Stitching Algorithm) is proposed, in which the boundary rectilinear parts extracted from the candidate images are stitched to the reference image in order to enlarge its matching space. By applying BSA to practical vein pattern verification system, its verification rate was increased by about 10%.

• The Research Journal of the Costume Culture
• /
• v.15 no.2 s.67
• /
• pp.221-231
• /
• 2007

In the modern society of the 21st century where the visuality is emphasized, the illustration which expresses one symbol by embodying it is getting more spotlight than the use of character. Specifically, the fashion illustration serves the role of image promotion in other fields, for such as book, magazine, etc, as well as the fashion, and is taking root in daily lives. In response to that, this study researched on the fusion style fashion and the fashion illustration by using the violet color. The violet color which symbolizes the mysticism is being applied to society and culture in various forms, and has been considered as a precious color that represents god since ancient time, and still possesses its mysterious image even in the modern times. Moreover, as the appearance of fusion styled clothes which consolidates the latest trend image of the west and east is combined with the mysterious image of the purple to express new cultural image beyond highlighting specific image element of a country, the study on the fashion illustration based on the clothes based on the purple and fusion style would be very interesting. This study tried to produce the work that aims at the practical study based on the purple & fusion style and the theoretical consideration of fashion illustration through the analysis and investigative study of preceding studies. The findings from the study is like this: First, the violet the color, which represents the mysticism, can be confirmed to be an sophisticated, elegant and attractive image color that leads the modern fashion. Second, the fusion style which is coming into the spotlight recently can be found to have a great visual effect of consolidating the image of the west and east through the mixture with the purple color. Third, it was confirmed in our production of works that the fashion illustration was expressing a mysterious and new fusion style by blending appropriately with the purple color.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.9 no.1
• /
• pp.75-87
• /
• 2009

We propose in this paper a novel approach to image fusion in which the fusion rule is guided by optimizing an image clarity function. A Genetic Algorithm is used to stochastically select, comparative to the clarity function, the optimum block from among the source images. A novel nested Genetic Algorithm with gifted individuals found through bombardment of genes by the mutation operator is designed and implemented. Convergence of the algorithm is analytically and empirically examined and statistically compared (MANOVA) with the canonical GA using 3 test functions commonly used in the GA literature. The resulting GA is invariant to parameters and population size, and a minimal size of 20 individuals is found to be sufficient in the tests. In the fusion application, each individual in the population is a finite sequence of discrete values that represent input blocks. Performance of the proposed technique applied to image fusion experiments, is characterized in terms of Mutual Information (MI) as the output quality measure. The method is tested with C=2 input images. The results of the proposed scheme indicate a practical and attractive alternative to current multi-focus image fusion techniques.

• International Journal of Contents
• /
• v.18 no.3
• /
• pp.11-20
• /
• 2022

Human Emotion Recognition is an exciting topic that has been attracting many researchers for a lengthy time. In recent years, there has been an increasing interest in exploiting contextual information on emotion recognition. Some previous explorations in psychology show that emotional perception is impacted by facial expressions, as well as contextual information from the scene, such as human activities, interactions, and body poses. Those explorations initialize a trend in computer vision in exploring the critical role of contexts, by considering them as modalities to infer predicted emotion along with facial expressions. However, the contextual information has not been fully exploited. The scene emotion created by the surrounding environment, can shape how people perceive emotion. Besides, additive fusion in multimodal training fashion is not practical, because the contributions of each modality are not equal to the final prediction. The purpose of this paper was to contribute to this growing area of research, by exploring the effectiveness of the emotional scene gist in the input image, to infer the emotional state of the primary target. The emotional scene gist includes emotion, emotional feelings, and actions or events that directly trigger emotional reactions in the input image. We also present an attention-based fusion network, to combine multimodal features based on their impacts on the target emotional state. We demonstrate the effectiveness of the method, through a significant improvement on the EMOTIC dataset.

• Journal of the Korean Society of Costume
• /
• v.61 no.1
• /
• pp.20-33
• /
• 2011

This study aims to analyze the expressive aspect of men's shirts through examining the characteristics of men's shirts with the trend of men's clothing well represented and considering the image based on high fashion. As a method of study, I have conducted the theoretical study through the literature data, and the content analysis through photographs from S/S collection in 2005 to F/W collection in 2010. Especially, in the recent men's shirts, the materials of glossy silk, wavering chiffon and jersey tend to appear and various images are represented with the tasteful decoration such as ruffle, pin tuck and embroidery together with pastel color. Thus, the result of this study is as follows: Firstly, the masculine and romantic images are researched as the image emphasizing the beautiful and soft masculine beauty which doesn't lose the masculinity even though they are seasonedwith the feminine elements. Soft masculine beauty is emphasized by using romantic image decoration of frills, beads and pin tuck or silk, jersey and openwork materials etc. Secondly, practical fusion images have been studied as the images emphasizing the freshness with practicality through grafting more than two items onto one shirt. Many designs have appeared representing new shapes by grafting more than two items onto one shirt or obscuring the border line between the items. Thirdly, the avant-garde chic images have been researched as the image emphasizing the chick image through representing unique and odd designs by excessively expressing the silhouette in general shapes of shirts. I come. to find that the mainly the designs, emphasizing the uniqueness and the distinction with transformed shapes of sleeves, cuffs and the length of shirts in exaggerated manners, are appearing. Thus, I intend to provide a reference material which will be useful for the newly created design and researches of figurative characteristics in the future fashion.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.33 no.1
• /
• pp.1-9
• /
• 2015

A remote sensed image simulation following to weather and season conditions can be performed by a reverse atmospheric correction which is a function of image preprocessing. In this study, we have made an experiment to generate the simulated image to the raw image, which is prior to the atmospheric corrected images under the specific weather conditions. The applied methods in this study were the Forster algorithm (1984) and 6S RTM (Radiative Transfer Model). The simulated images has been compared with the original image to analyze compliances. In fact, the results from 6S RTM method show better compliances than Forster, with a mean of RMSE of DN difference 9.35 and a mean of $R^2$ 0.7. In conclusion, a simulated image has practical feasibility when similar to the period and season as the reference image.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.13 no.3
• /
• pp.45-54
• /
• 2011

The purpose of this study is to help understanding of east-west culture fusion in fashion since 2000 years, to play a guideline's role in the development on fashion designs study. The methods of this study are academic literatures as well as practical study through case studies about actual works. Tendency of east-west culture fusion in fashion since 2000 years is shape and performance, pattern, accessary. Shape and performance are reinterpreted through east folk fashion transforming on west fashion, pattern shows traditional pattern of each nations, but letters of typical of each nations appears for new pattern which expresses nation identification. Accessary is in the harmony with east -west fashion culture like that without transform. Aesthetic value of east-west culture fusion in fashion since 2000 years is summerised opening, co-ownership, and amusement. First, opening is positiveness of acception and acknowledgment for other. Second, co-ownership turns towards humanism, and proves participating in globalism and really global village. Third, amusement is to express freedom, and to reveal privately emotion concealing in public area.