• Journal of Broadcast Engineering
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• v.12 no.2
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• pp.185-192
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• 2007

The interpolation is used in many image processing applications such as image enhancement, de-interlacing/scan-rate conversion, wavelet transforms based on the lifting scheme, and so on. Among these, de-interlacing and scan-rate conversion are proposed for the digital TV applications. The de-interlacing algorithm can be classified into two categories. The first one uses only one field, called intra-field de-interlacing, and the other uses multiple field, called inter-field de-interlacing. In this paper, an efficient de-interlacing algorithm using spatial domain information is proposed far the interpolation of interlaced images. By efficiently estimating the directional correlations, improved interpolation accuracy has been achieved. In addition, the proposed method is simply structured and is easy to implement. Extensive simulations conducted for various images and video sequences have shown the efficacy of the proposed method with significant improvement over the previous intra-field do-interlacing methods in terms of the objective image quality as well as the subjective image quality.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.1
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• pp.141-148
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• 1998

We propose an efficient method of de-interlacing in the post-pocessing of HDTV signal. Since the proposed method considers human visual weight, it gives the better performance in the edge information preservation than that of the median filter. The processing time of the proposed method is twice faster than median filter, therefore the proposed method is suitable for the real-time de-interlacing in the post-processing of HDTV signal.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.4C
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• pp.217-225
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• 2011

In this paper, we propose an adaptive de-interlacing algorithm that is based on the degree of local complexity. The conventional intra field de-interlacing algorithms show the different performance according to the ways which find the edge direction. Furthermore, FDD (Fine Directional De-interlacing) algorithm has the better performance than other algorithms but the computational complexity of FDD algorithm is too high. In order to alleviate these problems, the proposed algorithm selects the most efficient de-interacing algorithm among LA (Line Average), MELA (Modified Edge-based Line Average), and LCID (Low-Complexity Interpolation Method for De-interlacing) algorithms which have low complexity and good performance. The proposed algorithm is trained by the DoLC (Degree of Local Complexity) for selection of the algorithms mentioned above. Simulation results show that the proposed algorithm not only has the low complexity but also performs better objective and subjective image quality performances compared with the conventional intra-field methods.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.9C
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• pp.725-733
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• 2008

This paper proposed a novel do-interlacing algorithm using all direction edges estimation technique. In the proposed algorithm. previously developed the DOI(Direction-Oriented Interpolation) algorithm was used as a basis. The do-interlacing method was divided into two main parts. First, we should estimate edge direction. Then, missing pixel: were interpolated along with the decided edge. In this paper, after estimating the edge through the DOI algorithm considering high angle edge direction, missing pixels were interpolated by using the median filter. Experimental results indicate that the proposed algorithm is superior to the conventional algorithms in terms of the objective and subjective criteria.

• Proceedings of the IEEK Conference
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• 2001.09a
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• pp.371-374
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• 2001

본 논문에서는 움직임 보상을 이용한 Motion-Adaptive De-interlacing Method를 제안 한다. 정확한 움직임 추정을 위해서 Pre-filter로서 EBMF(Edge Based Median Filter)를 사용하며 새로운 Block Matching Method를 제안한다. Temporal Filter로서 Motion Missing Error를 제거하기 위해 입력 영상의 움직임 영역에 따라 각각 다른 임계 값을 적용하는 AMPDF(Adaptive Minimum Pixel Difference Filter)를 적용하였으며 MMD(Maximum Motion Detection)와 SAD(Sum of Difference)를 이용하여 빠른 움직임 영역에서 화질을 향상시켰다. 최종적으로 잘못된 움직임 보상에 기인하는 화질의 열화를 방지하기 위한 Motion Correction Filter를 제안한다.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.889-892
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• 2000

본 논문에서는 효과적인 De-interlacing을 위한 Edge based Median Filter와 3-Step AMPD(Adaptive Minimum Pixel Difference Filter)를 제안한다. Motion Adaptive De-interlacing 방법에서 중요한 요소인 Motion Hissing에 의한 에러를 방지하기 위해 입력 영상을 4 가지 유형으로 구분하여 각 영상에 따라 다른 임계 값을 적용하여 정확한 화소 값을 보간 하는AMPD(Adaptive Minimum Pixel Difference) Filter를 사용하며 Moving Diagonal Edge의 효과적인 보간을 위해서 방향 필터를 사용하여 Edge Map을 추출한 뒤 Edge에 따라 가변적인 후보 화소를 선택하는 Edge based Median Filter를 사용하여 성능을 향상시켰다. 또한 입력되는 영상을 움직임 영역, 정지 영역, 경계 영역으로 나누어 적응적으로 보간 하여 연산 효율을 높였다. 제안된 방법은 다양한 영상에 대한 모의실험을 통해 기존의 방법에 비해 뛰어난 성능 개선을 보였다.

• Proceedings of the IEEK Conference
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• 2003.11a
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• pp.149-152
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• 2003

This paper presents a method to find motion vectors that are closer to true motion with noisy images for simultaneous noise reduction and do-interlacing. The proposed method requires four interlaced field images: one noisy field image and three field images from which noise is already removed. The validation of motion provides accurate motion vectors and allows us to utilize them even in very noisy environment. The validated motion vectors are first used for the noise reduction, buffered and used later for the noise reduction and de -interlacing.

• Proceedings of the IEEK Conference
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• 2001.06d
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• pp.199-202
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• 2001

A current TV-OUT format is quite different from that of HDTY or PC monitor in encoding techniques. In other words, a conventional analog TV uses interlaced display while HDTV or PC monitor uses Non-interlaced / Progressive-scanned display. In order to encode image signals coming from devices that takes interlaced display format for progressive scanned display, a hardware logic in which scanning and interpolation algorithms are implemented is necessary. The ELA (Edge-Based Line Average) algorithm have been widely used because it provided good characteristics. In this study, the ADI(Adaptive De-interlacing Interpolation) algorithm using to improve the algorithm which shows low quality in vertical edge detections and low efficiency of horizontal edge lines. With the De-interlacing ASIC chip that converts the interlaced Digital YUV to De-interlaced Digital RGB is designed. The VHDL is used for chip design.

• Journal of Broadcast Engineering
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• v.19 no.6
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• pp.789-797
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• 2014

In general, the image of interlaced side-by-side (SBS) streams is not good because it goes through two reconstruction steps-de-interlacing and horizontal interpolation. Especially the accuracy of horizontal resolution is greatly deteriorated as processed de-interlacing value is used for reference of interpolated pixel at time of horizontal interpolation. To solve this problem, we propose an improved method considering interlaced SBS stream's characteristics. In this paper, we adopted two separate methods to transmitted line and blank line for using reliable information. The experimental result of the proposed method is better than the conventional algorithm in terms of subjective and objective image quality.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.5
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• pp.1155-1171
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• 1996

In this paper, we have analized the characteristics of pseudomedian filter based on the preceding study. The proposed pseudomedian filter methods consist of two types, that are H-shaped and Asterisk-shaped window types. At first, the definition of pseudomedian filter and its algorithm for de-interlacing scan conversion have been descibed, especially its charateristics, this, is the edge preserving characteristics and the required computation have been compared with the conventional algorithms. And PSNR has been introduced to evaluate the pseudomedian filter methods and the conventional algorithms. Finally, it has been discussed on the features and trade off of the pseudomedian filter methods. And the merit and application fields of the pseudomedian filter methods have been discussed.