• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.165-168
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• 2008

With the development of the information technology in recent years, the innovation of multimedia information technology also has been accelerated. Many fields of the digital image processing technologies as image data compression, recognition. restoration, etc. are now being studied actively. When transmitting and saving digital images, noise would be made, and we are using the image filters to remove the noise. The Image Filter used Digital Image Process basically has a two-dimensional structure. There are two methods of the filter's creation - One is reiterating one dimension, and the other is using an indivisible two-dimension image filter. The space domain method using mask is the latter one. That is inserting the value-multiplied pixels values faced each other when the two-dimension filter overlapped on input image- to the filter value's center position and the same position in the image. The image filter is being used widely along with one-dimension filter, according each noise. Most people are using various median filters to remove the impulse noise. However, in this paper, I suggested a powerful switching median filter and compared with conventional method for verification.

• The Bulletin of The Korean Astronomical Society
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• v.35 no.1
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• pp.31.2-31.2
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• 2010

본 연구의 목적은 태양 코로나 구조를 분석하기에 적합한 영상처리 기법을 찾는 것이다. 이를 위하여 우리는 IDL(Interactive Data Language)에 내장된 여러 가지 영상처리방법을 SOHO EIT 영상에 적용하였다. 우리는 영상처리를 위하여 단일 영상처리 방법과 2단계 영상 처리 방법을 사용하였다. 단일 영상처리 방법으로 히스토그램 평활화(Equalization), 주파수 필터링, 경계선 강화기법(Sobel, Robert) 등을 사용하였다. 2단계 영상처리 방법은 단일 영상 처리 방법에서 효과적이었던 방법들을 두 가지 이상 순차적으로 적용하는 것이다. 본 연구를 통하여 우리는 2단계 영상처리 방법(예, 저주파 필터 + Sobel + 히스토그램 평활화)이 단일 영상처리 방법 보다 코로나 루프 구조를 잘 보여주는 것을 확인하였다. 이 연구 결과가 태양 코로나 구조 연구에 유용하게 사용될 수 있을 것으로 기대된다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2004.11a
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• pp.39-42
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• 2004

본 논문은 H.264 동영상 표준 부호화 방식의 성능 향상을 위한 잔여 신호 전처리 필터에 대해 제안한다. 영상의 화질에 대한 최종적인 판단은 인간의 시각에 의하므로 HVS(Human Visual System)을 영상 압축에 적용한 수 있다(1,2,3). 잔여 신호 전처리 필터는 원 영상으로부터 중요하지 않은 부분을 제거하여 영상의 화질을 주어진 비트율로 최대화 시켜 부호화 율을 향상시키는데 목적을 둔다(4). 부호화 방식의 형태에 따라 잔여신호(DFD: Displaced Frame Difference)에 잔여 신호 전처리 필터 알고리즘을 적용하여 노이즈를 제거하고 전송 비트율을 감소시킬 수 있다 제안된 방식의 성능을 실험 결과로부터 확인할 수 있다

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.06a
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• pp.125-126
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• 2019

현재 상업적으로 널리 쓰이는 CCTV 용 카메라는 충분한 광량이 보장된 환경에서는 가시영역 영상을, 저조도 환경에서는 적외선 영상을 획득한다. 적외선 영상은 색채정보를 갖고 있지 않아 객체의 색채 정보를 이용하여야 하는 응용에 활용하기 어렵다. 본 논문에서는 ND 필터를 사용하여 가시광선 및 근적외선 영역의 영상정보를 분리하여 취득하는 가능성에 대한 연구를 하였다. 먼저 카메라 내부의 Hot Mirror 필터를 제거하여 가시영역 및 근적외선 신호 모두가 카메라에 들어오도록 한 후 ND 필터를 사용하여 영상을 취득한 후, 본 논문에서 제안하는 분리방식을 사용하여 가시영역 및 근적외선 영역으로 분리하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.6
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• pp.1170-1177
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• 1997

Morphology is a shape preseving filter. Several morphology filter can be made by the combination of morphological basic operation. If we use morphology filter in decimation process for a hierarchical encoder, there are some advantagesin reduction aliasing effects. In this paper, we propose a new hierarchical coder with morphological filtering and vector quantization. And then, firstly, we confirm that CO filtering is the best one among the 4 kinds of morphology filters to reduce aliasing effects in Laplacian pyramid transmission proposed by Burt. Secondly, the those two coders was compared. The results of our simulation show that our new coder surpasser the Laplacian pyramid especially in complex images.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.615-619
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• 2009

A real-time, continuous-scale image interpolation method is proposed based on bi-linear interpolation with directionally adaptive low-pass filtering. The proposed algorithm has been optimized for hardware implementation. The original bi-linear interpolation method has blocking artifact. The proposed algorithm solves this problem using directionally adaptive low-pass filtering. It can also solve the severely problem by selection choosing low-pass filter coefficients. Therefore the proposed interpolation algorithm can realize a high-quality image scaler for various imaging systems, such as digital camera, CCTV and digital flat panel display, to name a few.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.2
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• pp.184-189
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• 2013

In this paper, we propose the injurious moving picture filtering system using certain sounds contained in the injurious moving picture to filter injurious moving picture which is distributed without limitation in internet and internet storage space. For this purpose, the Gaussian Mixture Model which can well represent the characteristics of the sound, is used and frame level likelihood estimation is used to calculate the likelihood between filtering target data and the sound models. Also, the pruning method which can real-time proceed by reducing the comparing number of data, is applied for real-time processing, and MWMR method which showed good performance from existing speaker identification, is applied for the distinguish performance of high precision. In the identification experiment result, in case of the frame rate which is the proportion of total frame to high likelihood frame, is set to 50%, identification error rate is 6.06%, and in case of frame rate is set to 60%, error rate is 3.03%. As the result, the proposed system can distinguish between general and injurious moving picture effectively.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.4A
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• pp.345-355
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• 2002

This paper describes a new method of directional filter-based analysis for fingerprint enhancement. Fingerprint cages can be represented by direction field of regular structure of ridge patterns. The dominant directional component of ridge plays a very important role in pre-processing steps of fingerprint image analysis such as ridge's linking and noise removal for minutiae extraction. A directional filter bank analyzes input image into directional subband images and synthesizes them to the perfectly reconstructed image. In this paper, a new fingerprint enhancement algorithm based on a directional filter bank is proposed. The algorithm decomposes the fingerprint image into subband images in the analysis stage, accomplishes an enhance procedure by processing subband images in the enhance stage and synthesizes them to the enhanced image in the synthesis stage.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.8A
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• pp.796-804
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• 2002

This paper presents a new algorithm of fingerprint image analysis and processing using directional filter bank(DFB). The directional components of ridge is very important in pre-processing steps of fingerprint image processing such as image enhancement by directional filtering followed by estimationg the directional image of ridge patterns. The DFB analyzes input image into directional subband images and synthesizes them to the perfectly reconstructed image. In this paper, a new fingerprint processing algorithm using the DFB is proposed. The algorithm decomposes the fingerprint image into directional subband images and performs directional map generation, foreground segmentation, singular points extraction and image enhancement based on local directional energy estimate.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.327-328
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• 2007

에너지 흉부 단순 X선 영상으로부터 폐 종류 음영을 검출하기 위한 필터를 예측해서 성능좋게 평가하기 위한 방법을 제안한다. 더욱이 그 평가방법을 이용해서 기존에 제안된 다중 해상도 ${\nabla}^{2}G$ 필터의 평가를 행한다. 전문의의 진단보조 혹은 총합자동진단시스템의 구성요소로서 필터가 수행한 역할을 고려한 후, 필터가 만족해야만 하는 조건 및 그 조건을 만족한 경우에 있어서 몇가지 성능평가 척도를 명확히 한다. 제안한 평가방법을 통해서 다중해상도 필터가 단일해상도 필터에 비해 좋은 성능을 나타내고 있음을 명확히 한다.