• The Journal of the Korea institute of electronic communication sciences
• /
• v.13 no.3
• /
• pp.525-532
• /
• 2018

Recently, due to the advancements of sensor network technologies and camera technologies, there are increasing needs to effectively monitor the environment in a region that is difficult to access by using the visual sensor network that combines these two technologies. Since the image captured by the visual sensor reflects the natural phenomenon as it is, the quality of the image may deteriorate depending on the weather or time. In this paper, we propose an algorithm to improve the contrast of images using the characteristics of images obtained from visual sensors. In the proposed method, we first set the region of interest and then analyzes the change of the color value of the region of interest according to the brightness value of the image. The contrast of an image is improved by using the high contrast image of the same object and the analysis information. It is shown by experimental results that the proposed method improves the contrast of an image by restoring the color components of the low contrast image simply and accurately.

• Journal of the Korea Convergence Society
• /
• v.8 no.8
• /
• pp.33-40
• /
• 2017

In this paper, we propose a text extraction method by pattern analysis on contour for effective text detection in image. Text extraction algorithms using edge based methods show good performance in images with simple backgrounds, The images of complex background has a poor performance shortcomings. The proposed method simplifies the color of the image by using K-means clustering in the preprocessing process to detect the character region in the image. Enhance the boundaries of the object through the High pass filter to improve the inaccuracy of the boundary of the object in the color simplification process. Then, by using the difference between the expansion and erosion of the morphology technique, the edges of the object is detected, and the character candidate region is discriminated by analyzing the pattern of the contour portion of the acquired region to remove the unnecessary region (picture, background). As a final result, we have shown that the characters included in the candidate character region are extracted by removing unnecessary regions.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.9 no.2
• /
• pp.1-13
• /
• 2007

Black has played a more important role in the history of fashion than other colors. In general, black was regarded as a color of negative images. However, as people have recognized the aesthetic value of black color, they have expressed unique and various images of black through the medium of clothes. This study was based on both theory research and actual survey, where survey sheets were distributed to collect data. For data analysis, SPSS 10.0, a statistics software, was used, and frequency, pecentage, t-test, ANOVA test, and Duncan test were adopted and analyzed. The survey was conducted on 608 men over 20 in Seoul, Gyeonggi Province, Gangwon Province, and other areas for two months from May 20, 2005 to July 25, 2005. The analysis showed the following results. First, Dignity was the mostly cited image of black color among men followed by modernity, sorrow, feminineness, abstinence, and sensuality. Second, Men showed different responses according to their age. In sum, men more strongly recognize abstinence and sensuality in black dress as they become older. Marital status significantly affected men's recognition of black dress in terms of abstinence and sensuality. Abstinence was more strongly recognized by married men than single men. In addition, married men pointed out sensuality of black dress more frequently than single men. In short, married men tended to recognize abstinence and sensuality more easily than single men. Education level clearly affected men's recognition of dignity, modernity, and abstinence in black dress. In sum, as men got higher education, they tended to increasingly recognize dignity and modernity in black dress. In conclusion, this study has proved that black dress has unique aesthetic values and reflects various images according to age, marital status, education level.

• Journal of Korea Multimedia Society
• /
• v.5 no.6
• /
• pp.616-624
• /
• 2002

An extraction method of central objects in the color images is proposed, in this paper. A central object is defined as a comparatively consist of the central object in the image. First of all. an input image and its decreased resolution images are segmented. Segmented regions are classified as the outer or the inner region. The outer region is adjacent regions are included by a same region in the decreased resolution image. Then core object regions and core background regions are selected from the inner region and the outer region respectively. Core object regions are the representative regions for the object and are selected by using the information about the information about the region size and location. Each inner regions is classified into foreground or background regions by comparing values of a color histogram intersection of the inner region against the core object region and the core background regions. The core object region and foreground regions consist of the central object in the image.

• Journal of KIISE:Software and Applications
• /
• v.35 no.3
• /
• pp.162-168
• /
• 2008

A look-up table based vector adaptive filter is proposed in color inverse halftoning. Inverse halftoning converts halftone image into a continuous-tone image. The templates and training images are required in the process of look-up table based methods, which can be obtained from distributed patterns in the sample halftone images and their original images. Although the look-up table based methods usually are faster and show better performances in PSNR than other methods do, they show wide range of qualities depending on how they treat nonexisting patterns in the look-up table. In this paper, a vector adaptive filter is proposed to compensate for these nonexisting patterns, which achieves better quality owing to the contributed informations about hue, saturation, and intensity of surrounding pixels. The experimental results showed that the proposed method resulted in higher PSNR than that of conventional Best Linear Estimation method. The bigger the size of the template in the look-up table becomes, the more outstanding quality in the proposed method can be obtained.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.41 no.6
• /
• pp.61-71
• /
• 2004

Recently, various techniques for face detection are studied, but most of them still have problems on processing in real-time. Therefore, in this paper, we propose novel techniques for real-time detection of human faces in sequential images using motion and chroma information. First, background model is used to find a moving area. In this procmoving area. edure, intensity values for reference images are averaged, then skin-color are detected in We use HCr color-space model and adaptive threshold method for detection. Second, binary image labeling is applied to acquire candidate regions for faces. Candidates for mouth and eyes on a face are obtained using differences between green(G) and blue(B), intensity(I) and chroma-red(Cr) value. We also considered distances between eye points and mouth on a face. Experimental results show effectiveness of real-time detection for human faces in sequential images.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.47 no.2
• /
• pp.11-20
• /
• 2010

In this paper we propose a face detection system which consists of a method of face candidate extraction using skin color and a method of face verification using the feature of facial structure. Firstly, the proposed extraction method of face candidate uses the image segmentation and merging algorithm in the regions of skin color and the neighboring regions of skin color. These two algorithms make it possible to select the face candidates from the variety of faces in the image with complicated backgrounds. Secondly, by using the partial face classifier, the proposed face validation method verifies the feature of face structure and then classifies face and non-face. This classifier uses face images only in the learning process and does not consider non-face images in order to use less number of training images. In the experimental, the proposed method of face candidate extraction can find more 9.55% faces on average as face candidates than other methods. Also in the experiment of face and non-face classification, the proposed face validation method obtains the face classification rate on the average 4.97% higher than other face/non-face classifiers when the non-face classification rate is about 99%.

• Proceedings of the Korea Contents Association Conference
• /
• 2005.11a
• /
• pp.633-638
• /
• 2005

The extraction of a face is a very important part for human interface, biometrics and security. In this paper, we applies DCM(Dilation of Color and Motion) filter and Active Contour Models to extract facial outline. First, DCM filter is made by applying morphology dilation to the combination of facial color image and differential image applied by dilation previously. This filter is used to remove complex background and to detect facial outline. Because Active Contour Models receive a large effect according to initial curves, we calculate rotational degree using geometric ratio of face, eyes and mouth. We use edgeness and intensity as an image energy, in order to extract outline in the area of weak edge. We acquire various head-pose images with both eyes from five persons in inner space with complex background. As an experimental result with total 125 images gathered by 25 per person, it shows that average extraction rate of facial outline is 98.1% and average processing time is 0.2sec.

• Journal of Korea Multimedia Society
• /
• v.23 no.2
• /
• pp.166-173
• /
• 2020

Multi-view images, which are widely used for providing free-viewpoint services, can enhance the quality of synthetic views when the number of views increases. However, there needs an efficient representation method because of the tremendous amount of data. In this paper, we propose a method for generating point cloud data for the efficient representation of multi-view color and depth images. The proposed method conducts sequential reconstruction of point clouds at each viewpoint as a method of deleting duplicate data. A 3D point of a point cloud is projected to a frame to be reconstructed, and the color and depth of the 3D point is compared with the pixel where it is projected. When the 3D point and the pixel are similar enough, then the pixel is not used for generating a 3D point. In this way, we can reduce the number of reconstructed 3D points. Experimental results show that the propose method generates a point cloud which can generate multi-view images while minimizing the number of 3D points.

• Cartoon and Animation Studies
• /
• s.35
• /
• pp.255-270
• /
• 2014

There is a dazzling display of colors used in contemporary visual media. The flood of color image in films leads to the application of partial colors onto the monotonous image, which is one of the reverse phenomena in this field of visual media. Nowadays, it became possible to revise the colors of moving images through computer graphics, and the excessive use of colors has a tendency to make visual impact uninteresting. The attempt is applied in a variety of ways from making video commercials and music videos as well as films. In particular, the application of partial color in the monotonous image in films such as Schindler's List(1993) and Sin City(2005) gave scores of audiences a fresh shock and added the depth of moving image. The purpose of this study is to examine how the principles and properties of the color affect us and how the application of monotone shows its effectiveness in moving images. By analyzing various case studies, this paper will propose and validate the progressive value toward the application of moving images in combination in the future.