• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.10
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• pp.1955-1960
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• 2016

Currently, with the rapid development in digital era, the image equipment related to multi-media is becoming commercialized. However, in the process of transmitting image data, deterioration occurs due to various causes, and the most representative deterioration is salt and pepper noise. There are many methods of eliminating salt and pepper noise such as SWMF, RSIF, MNRF, which are rather insufficient in eliminating noise in high-density slat and pepper noise environment. Therefore, in order to eliminate salt and pepper noise, this thesis proposes an algorithm by first judging the noise, and when the center pixel value is non-noise, the original pixel is preserved, and when it is noise, the partial mask is subdivided into 4 directions to apply cubic spline interpolation to the direction with most non-noise pixels. Also, for the objective judgement, it was compared to existing methods, and the PSNR(peak signal to nise ratio) was set as the judgement standard.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.6
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• pp.485-492
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• 2016

A role of the binarization is very important in separating the foreground and the background in the field of the computer vision. In this study, an adaptive fuzzy binarization is proposed. An ${\alpha}$-cut control ratio is obtained by the distribution of grey level of pixels in a sliding window, and binarization is performed using the value. To obtain the ${\alpha}$-cut, existing thresholding methods which execution speed is fast are used. The threshold values are set as the center of each membership function and the fuzzy intervals of the functions are specified with the distribution of grey level of the pixel. Then ${\alpha}$-control ratio is calculated using the specified function and binarization is performed according to the membership degree of the pixels. The experimental results show the proposed method can segment the foreground and the background well than existing binarization methods and decrease loss of the foreground.

• Journal of Korea Multimedia Society
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• v.14 no.4
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• pp.529-537
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• 2011

In this paper, we propose a stable scale adaptive tracking method that uses centroids of the target colors. Most scale adaptive tracking methods have utilized histograms to determine target window sizes. However, in certain cases, histograms fail to provide good estimates of target sizes, for example, in the case of occlusion or the appearance of colors in the background that are similar to the target colors. This is due to the fact that histograms are related to the numbers of pixels that correspond to the target colors. Therefore, we propose the use of centroids that correspond to the target colors in the scale adaptation algorithm, since centroids are less sensitive to changes in the number of pixels that correspond to the target colors. Due to the spatial information inherent in centroids, a direct relationship can be established between centroids and the scale of target regions. Generally, after the zooming factors that correspond to all the target colors are calculated, the unreliable zooming factors are filtered out to produce a reliable zooming factor that determines the new scale of the target. Combined with the centroid based tracking algorithm, the proposed scale adaptation method results in a stable scale adaptive tracking algorithm. It tracks objects in a stable way, even when the background colors are similar to the colors of the object.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.5
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• pp.11-17
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• 2016

In this paper, we propose a method of correcting depth image by the plane modeling and then improving the coding performance. We model a plane by using the least squares method to the horizontal and vertical directions including the target pixel, and then determine that the predicted plane is suitable from the estimate error. After that, we correct the target pixel by the plane mode. The proposed method can correct not only the depth image composed the plane but also the complex depth image. From the simulation result that measures the entropy power, which can estimate the coding performance, we can see that the coding performance by the proposed method is improved up to 80.2%.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.209-212
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• 2007

Digital images are corrupted by noises, during signal acquisition and transmission. Amount those noises, additive white Gaussian noise (AWGN) and impulse noise are most representative. The conventional image restoration algorithms are mostly taken in simple noise environment, but they didn't perform very well in tempter noises environment. So a modified image restoration algorithm, which can remove complex noises by using the intensity differences and spatial distances between center pixel and its neighbor pixels as parameters, is proposed in this paper. Simulation results demonstrate that the proposed algorithm can't only remove AWGN and impulse noise separately, but also performs well in preserving details of images as edge.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.12
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• pp.97-106
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• 1999

We propose a new watermarking method to embed a label in a video which is robust against the change of the group of picture. The proposed method embeds labels in the pixel domain, but detects the label in the DCT frequency domain. For embedding a label, the size of watermark based on the human visual system is calculated to keep a quality of videos. A lookup table haying the pixel patterns and the sequences of a sign of DCT coefficients is used for detecting a label in the DCT frequency domain. In this paper, we analyze bit error rates for labels of videos compressed by MPEG2 using the central limit theorem and compare the simulation results with previous methods.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.18 no.1
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• pp.33-40
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• 2000

The aim of this study is to extract bridge location(center line and width of a bridge) from SPOT XS data with 20. The boundary pixels were computed to get the mixture proportions of classes and this mixture proportions were used to extract center line and width of a bridge. The accuracy was tested by comparing the extracted bridge center line coordinate and width to the existing 1:5,000 scale national digital map and field survey data. The results of the comparison show that the measuring accuracy of the bridge center line coordinates and width are $\pm$2.9 m and $\pm$4.1 m.

• The Bulletin of The Korean Astronomical Society
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• v.36 no.2
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• pp.132.1-132.1
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• 2011

2.1m Otto Struve 망원경은 미국 McDonald 천문대에 있는 광학망원경으로, 초기우주천체 연구단은 현재 카세그레인 초점에 CQUEAN(Camera for QUasars in EArly uNiverse) 시스템을 부착하여 장기 관측 과제를 수행 중이다. 향후 주 초점을 이용한 관측에 대비하여 본 연구에서는 2.1m Otto Struve 망원경의 파인더에 FLI 4K CCD를 부착하여 자동조준 시스템 테스트를 수행하였다. 파인더 망원경의 제원은 구경 254mm, 초점거리 3038mm이며, FLI 4K CCD의 제원은 해상도 $4096{\times}4096$ 화소, 화소 크기 $9{\mu}m{\times}9{\mu}m$로서, 파인더 망원경 초점면에서 픽셀스케일 0.61"/pixel, 시야 $41.6'{\times}41.6'$이다. 자동조준 소프트웨어는 McDonald 천문대의 agdr-1.14를 사용하였다. 자동조준 카메라(4K CCD)의 영상을 통해 파인더 망원경에서의 시야와 한계등급을 구하였다. 여러 방향으로 망원경을 조준하여 2.1m 망원경에 부착된 CQUEAN과 파인더 망원경에 부착된 4K CCD 각각에서 영상을 얻고, 이들의 중심좌표를 비교함으로써 중력에 의한 망원경의 휨 효과를 조사하였다. 더하여 자동조준 설정을 바꿔가며 CQUEAN으로 NGC 6633의 장기 노출 영상을 얻고, 이들 영상에서 별 모양 특성을 분석하여 각각의 조건에서 자동조준 시스템의 성능을 조사하였다. 이상의 연구결과를 토대로 2.1m Otto Struve 망원경의 주 초점 관측 시 파인더 망원경을 이용한 자동조준장치 시스템 활용에 대해 제언하고자 한다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.4
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• pp.16-22
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• 2009

In this paper, we propose an auto gain/offset which considers the visibility of human visual system (HVS) and the histogram of a target image jointly. In the proposed method, the lower and upper clipping thresholds are determined to maximize the averaged visibility of the contrast-stretched image. The target image is then contrast-stitched by the gain and offset derived from the clipping thresholds. We define the visibility as a quantity related to the spatial JND, which means the threshold below which any change of a pixel from its textured neighbors is not recognized by the HVS. Experimental results show that the contrast-stretched images by the proposed method have better global and local contrasts compared to the results by some conventional methods.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.7
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• pp.1734-1739
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• 2014

Currently, with the rapid development of the digital age, multimedia-related image devices become popular. However, images are susceptible to corruption in processing image data due to the impulse noise and active researches have been conducted to restore these images. This paper, in order to restore the damaged images in impulse noise environments, suggested an image restoration algorithm which applies weights depending on spatial distance between directionality and pixel by focusing on damaged pixels. Additionally, this algorithm was compared with existing methods by using the PSNR (peak signal to noise ratio) as the objective standard to judge whether there were improved effects.