• Convergence Security Journal
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• v.11 no.4
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• pp.11-17
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• 2011

In this paper, we propose system design and implementation of FLV Move Picture Solution based on IDC apply to Mini IPTV. IDC of energy minimize and Green Data Center design resources make use of maximization, and Mini IPTV of diverse contents service provider and network provider offer Mini IPTV customers to transmit network. at this time implemented on the improve Move Picture of motion blur and compressibility using FLV solution file format and a compression technique, and reduced traffic cost and solved security question. specially, on the web quickly growing a branch of e-Learning wish to be of help.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.10
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• pp.3928-3934
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• 2010

To restore image degraded by motion blur and additive noise, In conventional method, regularization is usually applied to all over the image without considering the local characteristics of image. As a result, ringing artifacts appear in edge regions and the noise amplification is introduced in flat regions. To solve this problem we propose an adaptive regularization iterative restoration using wavelet directional considering edges and the regularization operator with no direction for flat regions. We verified that the proposed method showed results in the suppression of the noise amplification in flat regions, and introduced less ringing artifacts in edge regions.

• Journal of the Korea Institute of Military Science and Technology
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• v.23 no.2
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• pp.97-105
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• 2020

In order to set up radar cross section(RCS) reduction factors for a target, the scattering point position of the target should be identified through inverse synthetic aperture radar(ISAR) image analysis. For this purpose, ISAR image focusing is important. Maritime ship is non-linear maneuvering in the sea, however, which blur the ISAR image. To solve this problem, translational and rotational motion compensation are essential to form focused ISAR image. In this paper, hourglass and ISAR image analysis are performed on the collected data in the sea instead of using the prediction software tool, which takes much time and cost to make computer-aided design(CAD) model of the ship.

• The Journal of the Korea Contents Association
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• v.10 no.9
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• pp.18-25
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• 2010

Computer Graphics(CG) are very important in the movie industries. Recently, many domestic CG Companies participate in a movie creation. However, most companies only use commercial tools, and do not concentrate on developing techniques. This is why they use the commercial tools in spite of its lack of functions. In this paper, we explain the importance of developing technical tools to complement the shortage of commercial tools through the previewer for fluid simulation. We present how we design and implement the previewer to specialize it for fluid simulation. Finally, we estimate our previewer's performance and discuss with result.

• 한국정보디스플레이학회:학술대회논문집
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• 2008.10a
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• pp.1203-1207
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• 2008

For a large sized, ultra definition (UD) and high refresh rate for motion blur free AMLCD TVs, amorphous IGZO thin film transistor (TFT) are applied and investigated in terms of threshold voltage ($V_{th}$) shift influenced by active layer thickness uniformity, source drain etching technology, heat treatment and passivation condition. Optimizing above parameters, we fabricated the world's largest 15 inch XGA AMLCD successfully.

• Journal of Digital Contents Society
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• v.15 no.3
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• pp.425-432
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• 2014

4K high speed camera shooting enables shooting of fast subjects in Full HD 4 times resolution without motion blur due to increase in resolution and shutter speed. However, this shooting incurs several limitations including focus, intensity of radiation and increase in data quantity. As lack of intensity of radiation may occur due to increased shutter speed, it is shoot by opening aperture and limitation in focusing follows. In addition, there is limitation in shooting records since it has restriction in storage due to increased resolution and frame rate. In this regard, this study aims to analyze the limitations shown above through production case of 4K high speed camera (Phantom Flex 4K) and to design effective workflow to overcome this.

• Journal of Information Display
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• v.9 no.1
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• pp.1-5
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• 2008

Two new impulsive driving technologies for 120Hz liquid crystal display (LCD) panels are proposed to improve moving picture quality. One technology generates the dark frame using an adder and a shifter simply without using any look up tables (LUTs). It results in a cost effective impulsive scheme with motion picture quality comparable to that of high speed driving. The other is a backlight flashing method designed to avoid ghost images. The issue of ghost images caused by the slow response time of liquid crystal (LC) is solved by means of 120Hz overdriving and 120Hz backlight flashing. Using the perceived blur edge time (PBET) metric, measured moving picture response time (MPRT) values were 10.8ms and 4.4ms, respectively, while that of 120Hz high speed driving was 10.1ms.

• Journal of the Korean Society for Railway
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• v.13 no.3
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• pp.283-289
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• 2010

Recent advance of digital camera results in that image signal processing techniques are widely adopted to railroad security management. However, due to the nature of railroad management many images are acquired in low light level environment such as night scenes. The lack of light causes lots of noise in the image, which degrades image quality and causes errors in the next processes. 3D noise reducing techniques produce better results by using consecutive sequence of images. On the other hand, they cause degradation such as motion blur if there are motions in the sequence. In this paper, we use an adaptive weight filter to estimate more accurate motions and use the result of the adaptive filter to 3D result to improve objective and subjective mage quality.

• Journal of Korea Multimedia Society
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• v.5 no.4
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• pp.399-404
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• 2002

To restore image degraded by motion blur and additive noise, it is very difficult. In conventional restoration method, regularization is usually applied to all over the image without considering the local characteristics of image. As a result, ringing artifacts appear in edge regions and the noise amplification is introduced in flat regions. To solve this problem we propose an adaptive restoration method using directional regularization operator considering edges and the regularization operator with no direction for flat regions. We verified that the proposed method showed better results in the resolution. As a result it showed visually better image and improved better ISNR further than the conventional methods.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.15 no.3
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• pp.172-179
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• 2015

Because of the development of computers and high-technology applications, all devices that we use have become more intelligent. In recent years, security and surveillance systems have become more complicated as well. Before new technologies included video surveillance systems, security cameras were used only for recording events as they occurred, and a human had to analyze the recorded data. Nowadays, computers are used for video analytics, and video surveillance systems have become more autonomous and automated. The types of security cameras have also changed, and the market offers different kinds of cameras with integrated software. Even though there is a variety of hardware, their capabilities leave a lot to be desired. Therefore, this drawback is trying to compensate by dint of computer program solutions. Image processing is a very important part of video surveillance and security systems. Capturing an image exactly as it appears in the real world is difficult if not impossible. There is always noise to deal with. This is caused by the graininess of the emulsion, low resolution of the camera sensors, motion blur caused by movements and drag, focus problems, depth-of-field issues, or the imperfect nature of the camera lens. This paper reviews image processing, pattern recognition, and image digitization techniques, which will be useful in security services, to analyze bio-images, for image restoration, and for object classification.