• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.9
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• pp.91-102
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• 1999

It is known that the digital image enlargement technique which only uses spatially neighbored pixels information in a still image can increase the size of the image but the practical enhancement of resolution is small because the frequency bandwidth of the image is basically limited. To solve this problem, this paper proposes the digital image enlargement technique that improves the reconstruction of the edge components by selectively transposing the direction of the subwindows of pseudomedian filter according to the distribution of neighbored pixels to the interpolation point. The pseudomedian filter has the better performance in aspect of the reconstruction of edge information when the pixel values masked by two subwindows parallel to the interpolation point are very similar and the pixel values masked by another subwindow that is orthogonal to the above two subwindows are similar to each other. In this paper, the computer simulation for digital image enlargement was performed with consideration of these characteristics when selecting the subwindows of pseudomedina filter. Based on this simulation result, the performance of the proposed method was analysed and its effectiveness was assessed. According to the proposed method, visual artifacts that result from using the limited samples can be effectively suppressed, and most characteristics and shapes of the original image can be preserved as well.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.195-196
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• 2014

현재 디지털방사선 환경으로 변화하고 있는 추세에 과거 필름-스크린 방식에서 사용되던 흉부 후 전 방향 검사 시 초점 영상 수신부 간의 거리가 디지털방식의 장비에도 여전히 적용되고 있다. 이에 본 연구에서는 3개의 DR장비에서 각 영상수용체의 제조특성을 고려하였을 때 실제 심장 및 심흉비의 확대정도에 대해 알아보고, 임상에서 DR 장비를 이용한 Chest PA 검사 시 심장 및 심흉비의 확대도에 대한 정보를 제공하고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.385-387
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• 2006

본 논문에서는 Cubic Convolution 보간 알고리즘을 변형하여 연산량을 감소시키고 에지를 강조하는 보간 알고리즘을 제안한다. 제안된 알고리즘은 디지털 영상의 확대 또는 축소에 필요한 연산량을 줄이기 위해 두가지 방법을 사용하였다. 기존의 Cubic Convolution 알고리즘의 고차항의 가중치 연산을 일차원으로 변환하였다. 인접한 픽셀의 차이값을 사용하여 Bilinear 알고리즘을 제한적으로 적용하였다. 제안된 알고리즘의 화질 평가를 위해 원영상의 확대-후-축소와 축소-후-확대를 하여 RMSE를 사용하였고, 연산량을 평가하기 위해 픽셀별 곱셈기와 덧셈기를 기존의 알고리즘과 비교하였다. 시뮬레이션 결과 기존 Cubic Convolution 알고리즘보다 연산량이 감소하였다.

• The Journal of the Korea Contents Association
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• v.8 no.9
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• pp.55-65
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• 2008

At these information age when the importance of news is of particular emphasis, the field of image-production for the news are being made rapid progressive by high-tech like multi-media, multi-channel digital system. Even experts who have engaged in the work of broadcasting in th field for a long time are perplexed with rapid development in Broadcasting equipments and expression techniques. The field of TV is characterized by the speed of change and the desire of viewers for new and interesting video images. The image expression system applying image line has ever existed as one of conventional image expression methods. Obsolete and old image expressions are paling into significance for viewers who want to access more information in a short time. but The change of image expression systems due to the progressive stream of time has forced existing imaginary to be changed constantly to accommodate the changing interests and expectations of the viewers. Therefore, in this treatise, we need a broad interpretation about the direction of this imaginary line for TV news image in that existing systems of image producing haven’t also been changed and adapted to the stream of time. In these days, image is defined as not only video, but also audio. also We need to reduce the confusion concerning the imaginary line and contribute to a correct understanding images of TV news for not only customers but also producer by extending and applying the concept of imaginary line to image producing.

• Journal of the Korean Society of Radiology
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• v.12 no.7
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• pp.845-852
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• 2018

This study aimed to investigate the difference of X-ray exposure by comparing and analyzing absorbed dose according to changes in the number of frames in coronary angiography, also depending whether the zoom mode is FOV enlargement or Zoom Live. Moreover, for appropriate frame selection measures for examination, including the effect of frame change on the image quality, were sought by measuring the noise strength expressed by the standard deviation (SD), the signal to noise ratio (SNR) and contrast to noise ratio (CNR). The study was conducted with an anthropomorphic phantom on an angio-system. The linear relationship between the frame rate and the radiation dose was evident. On the contrary, the indices of image quality (SD, SNR, and CNR) were almost constant irrespective of the number of frames. The difference depending on the zoom mode was not statistically significant for DAP, air kerma, and SD (p > 0.05). However, SNR and CNR were statistically different between FOV enlargement and Zoom Live. In conclusion, since the image quality was not degraded significantly with the decreasing frame rate from 30, 15, to 7.5 f/s and the radiation dose evidently decreases in almost exactly linear proportion to the decreasing frame rate, the number of frames per second needs to be maintained as low as reasonably achievable. As for the dependence on the zooming mode, the Live Zoom mode showed statistically significant improvement in the image quality indices of SNR and CNR and it justifies active use of the Live Zoom mode which enables real-time image enlargment without additional radiation dose.

• Journal of Korean Electronics
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• v.21 no.12
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• pp.71-78
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• 2001

PC 및 인터넷의 급속한 보급으로 인해 소비자가 보다 간단히 컨텐츠의 COPY를 작성할 수 있는 환경이 조성되고 있어, 음악이나 영상의 저작권자들은 PC나 인터넷을 통한 부정 카피를 우려하지 않을 수 없다. 이제 디지털 컨텐츠의 저작권은 풍전등화와 같다. 이에 CPTWG에서는 DVD를 기점으로 PC 주변기기 및 네트워크에 저작권 보호환경을 확대하는 방침을 추진하고 있다.

• Journal of Industrial Technology
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• v.28 no.A
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• pp.35-42
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• 2008

Recently, there are a lot of multimedia products to using image interpolation system. However, most interpolation systems in existence suffer visually to some extents the effects of blurred edges and jagged artifacts in the image. I in this paper, we propose the adaptive linear interpolation system that uses the sub-pixel. We system calculate the warped distance among the pixels of an image, and use data for Optimize length parameter. Our experimental results show that our new algorithm significantly outperforms linear interpolation in subjective quality, and in most cases, in terms of PSNR as well.

• Journal of Korea Multimedia Society
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• v.4 no.3
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• pp.222-229
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• 2001

Many techniques have been proposed for digital image enlargement, which use spatially neighbored pixels information in a still image. In this paper, we propose the digital image interpolation method that improves edge characteristics by selectively transposing the sub-windows of pseudomedian filter, which results in relatively better performance than others. We have simulated the proposed algorithm using Visual C++ and verified performance of the algorithm by PSNR(Peak signal Noise Ratio) and edge characteristics. Finally, we have designed the adaptive pseudomedian by using synopsys VHDL(Very high speed integrated circuit Hardware Description Language).

• The Journal of Korean Institute of Communications and Information Sciences
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• v.23 no.9A
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• pp.2345-2354
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• 1998

There have been many researches to yield higher resolution image quality from the low resolution CCD device. The resolution of it is primary factor for the image quality of digital still camera and in manufacturing price. IN this paper, image enlargement algorithm, which reduces blocking effect of enlarged low resolution image and minimizes ringing and blur effect occurring around edge in linear interpolation, is proposed. This algorithm is composed of gaussian low pass filter which eliminates aliasing, least square spline interpolation and non-linear interpolation based on step edge model.

• Journal of the Korean Society for Precision Engineering
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• v.21 no.3
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• pp.74-82
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• 2004

This paper proposes a fast zooming and focusing technique for implementing a real-time surveillance camera system which can capture a face image in less than 1 second. It determines the positions of zooming and focusing lenses using two-step algorithm. In the first step, it moves the zooming and focusing lenses simultaneously to the positions calculated using the lens equations for achieving the predetermined magnification. In the second step the focusing lens is adjusted so that it is positioned at the place where the focus measure is the maximum. The camera system implemented for the experiments has shown that the proposed algorithm spends about 0.56 second on average fur obtaining a focused image.