• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.1
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• pp.71-79
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• 2011

The objective of the imaging pipeline is to transform the original scene into a display image that appear similar, Generally, gamma adjustment or histogram-based method is modified to improve the contrast and detail. However, this is insufficient as the intensity and the chromaticity of illumination vary with geometric position. Thus, MSR (Multi-Scale Retinex) has been proposed. the MSR is based on a channel-independent logarithm, and it is dependent on the scale of the Gaussian filter, which varies according to input image. Therefore, after correcting the color, image quality degradations, such as halo, graying-out, and dominated color, may occur. Accordingly, this paper presents a novel color correction method using a modified image formation model in which the image is divided into three components such as global illumination, local illumination, and reflectance. The global illumination is obtained through Gaussian filtering of the original image, and the local illumination is estimated by using JND-based adaptive filter. Thereafter, the reflectance is estimated by dividing the original image by the estimated global and the local illumination to remove the influence of the illumination effects. The output image is obtained based on sRGB color representation. The experiment results show that the proposed method yields better performance of color correction over the conventional methods.

• Smart Structures and Systems
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• v.24 no.5
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• pp.659-668
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• 2019

In digital image correlation, speckle image is closely related to the measurement accuracy. A practical global evaluation criterion for speckle image is presented. Firstly, based on the essential factors of the texture image, both the average particle size and image sharpness are used for the assessment of speckle image. The former is calculated by a simplified auto-covariance function and Gaussian fitting, and the latter by focusing function. Secondly, the computation of the average particle size and image sharpness is verified by numerical simulation. The influence of these two evaluation parameters on mean deviation and standard deviation is discussed. Then, a physical model from speckle projection to image acquisition is established. The two evaluation parameters can be mapped to the physical devices, which demonstrate that the proposed evaluation method is reasonable. Finally, the engineering application of the evaluation method is pointed out.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.2076-2079
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• 2003

This paper describes an efficient thresholding method for the binarization of a grey-level letter image. This method determines the adaptive threshold for letter image binarization by introducing the readjusting parameter, based on the global variance of the input image. Experimental results show that the proposed binarization method outperforms on the various letter images with a texture or noise when compared to the other methods.

• Journal of Korea Multimedia Society
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• v.19 no.11
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• pp.1837-1851
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• 2016

Newspaper reader mobile applications using text-to-speech (TTS) function enable blind people to read newspaper contents. But, tables cannot be easily read by the reader program because most of the tables are stored as images in the contents. Even though we try to use OCR (Optical character reader) programs to recognize letters from the table images, it cannot be simply applied to the table reading function because the table structure is unknown to the readers. Therefore, identification of exact location of each table cell that contains the text of the table is required beforehand. In this paper, we propose an efficient image processing algorithm to recognize all the cells in tables by identifying columns and rows in table images. From the cell location data provided by the table column and row identification algorithm, we can generate table structure information and table reading scenarios. Our experimental results with table images found commonly in newspapers show that our cell identification approach has 100% accuracy for simple black and white table images and about 99.7% accuracy for colored and complicated tables.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.283-293
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• 2022

One of the important areas of state policy in the socio-economic and cultural development of the country is cultural diplomacy. It contributes to the information dissemination about the country, strengthens interstate relations, and forms a positive image. Through cultural diplomacy, we achieve a positive perception of the world community of the country, determined by its place in the modern system of international relations. The aim of the study is a comparative analysis of cultural diplomacy opportunities for sustainable development at different levels of public relations, as well as the impact of cultural diplomacy opportunities on the indicators of the Global Sustainable Competitiveness Index and the Global Sustainable Development Index. Regarding the results of the research on the impact of cultural diplomacy opportunities on the indicators of the Global Index of Sustainable Competitiveness and the Global Index of Sustainable Development, four groups are identified among the countries of the European Union: countries with a very high level of sustainable competitiveness and sustainable development; countries with a high level of sustainable competitiveness and sustainable development; countries with low levels of sustainable competitiveness and sustainable development.

• Journal of Korea Multimedia Society
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• v.24 no.11
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• pp.1518-1525
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• 2021

Due to the growth of VR industry and rise of digital twin industry, the importance of implementing 3D data same as real space is increasing. However, the fact that it requires expertise personnel and huge amount of time is a problem. In this paper, we propose a system that generates point cloud data with same shape and color as a real space, just by scanning the space. The proposed system integrates 3D geometric information from lidar and color information from stereo camera into one point cloud. Since the number of 3D points generated by lidar is not enough to express a real space with good quality, some of the pixels of 2D image generated by camera are mapped to the correct 3D coordinate to increase the number of points. Additionally, to minimize the capacity, overlapping points are filtered out so that only one point exists in the same 3D coordinates. Finally, 6DoF pose information generated from lidar point cloud is replaced with the one generated from camera image to position the points to a more accurate place. Experimental results show that the proposed system easily and quickly generates point clouds very similar to the scanned space.

• The Journal of Korea Robotics Society
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• v.16 no.3
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• pp.238-244
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• 2021

Image mosaicking is a common and useful technique to visualize a global map by stitching a large number of local images obtained from visual surveys in underwater environments. In particular, visual inspection of underwater structures using underwater robots can be a potential application for image mosaicking. Feature-based pairwise image registration is a commonly employed process in most image mosaicking algorithms to estimate visual odometry information between compared images. However, visual features are not always uniformly distributed on the surface of underwater structures, and thus the performance of image registration can vary significantly, which results in unnecessary computations in image matching for poor-conditioned image pairs. This study proposes a pairwise registrability measure to select informative image pairs and to improve the overall computational efficiency of underwater image mosaicking algorithms. The validity and effectiveness of the image mosaicking algorithm considering the pairwise registrability are demonstrated using an experimental dataset obtained with a full-scale ship in a real sea environment.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.3
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• pp.120-131
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• 2020

Water body detection using remote sensing based on machine interpretation of satellite image is efficient for managing water resource, drought and flood monitoring. In this study, water body detection with SAR satellite image based on machine learning was performed. However, non water body area can be misclassified to water body because of shadow effect or objects that have similar scattering characteristic comparing to water body, such as roads. To decrease misclassifying, 8 combination of morphology open filtered band, DEM band, curvature band and Cosmo-SkyMed SAR satellite image band about Mokpo region were trained to semantic segmentation machine learning models, respectively. For 8 case of machine learning models, global accuracy that is final test result was computed. Furthermore, concordance rate between landcover data of Mokpo region was calculated. In conclusion, combination of SAR satellite image, morphology open filtered band, DEM band and curvature band showed best result in global accuracy and concordance rate with landcover data. In that case, global accuracy was 95.07% and concordance rate with landcover data was 89.93%.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.4
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• pp.693-699
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• 2006

Digital airborne image must be precisely orthorectified to become geographical information. For orthorectification of airborne images, GPS/INS (Global Positioning System/Inertial Navigation System) and LIDAR (LIght Detection And Ranging) elevation data were employed. In this study, 635 frame airborne images were produced and LIDAR data were converted to raster image for applying to image orthorectification. To derive images with constant brightness, flat field correction was applied to images. The airborne images were geometrically corrected by calculating internal orientation and external orientation using GPS/INS data and then orthorectified using LIDAR digital elevation model image. The precision of orthorectified images was validated by collecting 50 ground control points from arbitrary five images and LIDAR intensity image. As validation result, RMSE (Root Mean Square Error) was 0.387 as almost same as only two times of pixel spatial resolution. It is possible that this automatic orthorectification method of airborne image with higher precision is applied to airborne image industry.

• Journal of Korea Trade
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• v.25 no.3
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• pp.87-115
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• 2021

Purpose - Brand equity has emerged as an indispensable marketing tool for firms engaging their business in developing nations. This study proposes that the country of origin image and advertising will affect the Korean brand equity formation, which leads to repurchase intention of Korean brands. In the study, attitude factors are applied in brand equity theory to predict repurchase intention of Korean brands. Cognitive brand equity, such as brand awareness, brand association, brand image and attitudinal brand equity, such as perceived quality and brand loyalty are considered with regards to their attitude towards the Korean brand. Design/methodology - A total of 178 Myanmar consumers out of 200 participants who have used Korean brands answered the survey and data were analyzed through SmartPLS 3.3.2 version. PLS-SEM is considered a more suitable analysis to pin down and evaluate the cause-effect relationship among all of the constructs with relatively complex models. Findings - Our results substantiate that the country of origin image positively affects brand awareness, brand associations, and brand image and advertising awareness positively affects brand awareness. Brand awareness gives positive effect only on brand association, which sustains a positive effect on brand image and brand loyalty. Brand image only has a positive effect on perceived quality, which again affects repurchase intention and brand loyalty. Brand loyalty also shows a positive effect on repurchase intention. Originality/value - Brand equity dimensions were viewed as cognitive and attitudinal outcomes of brand equity which affects repurchase intention. The drivers of brand equity were considered from the perspective of country of origin image that firms cannot control or mange, and advertising awareness which firms can control and manage. The findings also explored the relationships between cognitive and attitudinal brand equity.