• 대한전자공학회논문지SP
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• 제43권1호
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• pp.1-8
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• 2006

본 논문은 다중 참조영상(multiple reference image)에 적용 가능한 새로운 고속 전역탐색 움직임 추정 기법을 제안한다. 제안된 방법은 기존의 비트율을 고려한 연속제거알고리즘(rate constrained successive elimination algorithm: RSEA)을 다중 참조영상에 확대 적용하는 방법이다. 첫 번째 참조영상에 대한 움직임 추정의 계산량에 비해 그 이후 참조영상에 대한 움직임 추정의 계산량이 적어질 수 있음을 보일 것이다. 계산량 감축을 위해, 본 논문에서 최적 움직임 벡터의 후보 블록의 개수를 감소시킬 수 있는 새로운 조건을 소개한다. 실험 결과을 통해 제안된 방법이 기존의 RSEA과 동일한 움직임 추정오차를 가지면서도 계산량을 감소시킴을 보일 것이다.

• 대한전자공학회논문지SP
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• 제45권5호
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• pp.52-62
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• 2008

본 논문에서는 임의의 블록 변환 영역에서 영상의 특성에 적절한 필터를 사용하여 영상의 해상도를 변환하는 기법을 개발 한다. 이를 위하여 임의의 직교 transform 영역에서 해상도 변환을 수행하는 모든 과정을 matrix 곱으로 표현하여 해상도 변환을 수행하는 matrix를 유도한다. 해상도 변환을 수행하는 matrix는 영상 특성에 알맞은 필터를 선택하여 사용할 수 있도록 설계한다. 개발된 기법은 다양한 transform 영역에 적용할 수 있고, 동영상 부호화시 발생되는 inter/intra block들이 혼합되어 있는 영상의 해상도 변환에 적용 가능함을 실험을 통하여 검증하였다.

• 산업경영시스템학회지
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• 제23권60호
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• pp.1-9
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• 2000

This paper deals with the difference between human sensibility collected from real product and that through graphic image(photographs and graphic images on CRT monitor) on the same automotive interior. The objective of this study is to verify the possibility that, If there are some restrictions in collecting human sensibility through real product directly, they can be overcome by using graphic image instead, making it easy to collect and analyze human sensibility so as to reflect consumers sensibility in the design of automotive interior, and also comparing the result between real product and graphic image on CRT monitor in order to confirm the potentiality of developing a remote human sensibility survey system through Internet. Therefore two experiments were conducted and the object for experiments was limited to automotive interior. The analysis results showed that there were significant differences between graphic image and real product in case of total interior and IPC(Instrument Panel Center) and no significant difference in case of display panel. Also, there were no significant difference when the subject group was female(housewife). To conclude, we can infer, in case of display panel, that it is possible to replace real product with graphic image to extract similar results on human sensibility and to collect human sensibility through Internet.

• 센서학회지
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• 제30권1호
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• pp.61-65
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• 2021

In this study, we propose a 2500 frame per second (fps) high-speed binary complementary metal oxide semiconductor (CMOS) image sensor using a gate/body-tied (GBT) p-channel metal oxide semiconductor field effect transistor-type high-speed photodetector. The GBT photodetector generates a photocurrent that is several hundred times larger than that of a conventional N+/P-substrate photodetector. By implementing an additional binary operation for the GBT photodetector with such high-sensitivity characteristics, a high-speed operation of approximately 2500 fps was confirmed through the output image. The circuit for binary operation was designed with a comparator and 1-bit memory. Therefore, the proposed binary CMOS image sensor does not require an additional analog-to-digital converter (ADC). The proposed 2500 fps high-speed operation binary CMOS image sensor was fabricated and measured using standard CMOS process.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2005년도 가을 학술발표논문집 Vol.32 No.2 (1)
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• pp.706-708
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• 2005

본 논문에서는 투명한 스플랫을 사용한 깊이 기반의 3차원 이미지(Depth image based 3D rendered image) 렌더링에서의 가시성 기법을 제시한다. 이는 기존의 두 개의 패스로 이루어지는 가시성 기법을 z-버퍼 알고리즘과 변화된 McMillan's 알고리즘을 사용하여 하나의 패스로 구성함으로써 성능을 향상시켰다. 또한 스플랫의 순서에 따라 올바르지 않은 기준설정으로 인해 발생하는 화질의 문제점을 McMillan's 알고리즘을 수정함으로써 해결하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1987년도 전기.전자공학 학술대회 논문집(II)
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• pp.1441-1444
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• 1987

Extraction of dept.h information from stereo image uses the matching process between them and this requires a lot of computational time. In this paper, a matching using the feature points on the epipolar line is presented to save the computations. Feature points are obtained in both image and correlated each other. With the coordinates of the matched feature points and camera geometry, the position and depth informations are identified.

• 대한공간정보학회지
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• 제7권2호
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• pp.81-91
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• 1999

지형공간정보체계의 운영을 위하여 필수적인 자료기반의 갱신을 위한 연구가 활발히 진행되고 있다. 본 연구에서는 수치 사진측량과정에 의하여 취득되는 자료를 활용하여 정사투영영상을 생성하고 영상피라미드 기법을 이용하여 다축척 정사투영영상지도를 제작하였다. 연구의 결과 제작된 정사투영영상지도의 정확도는 1:5,000 지형도 대비 2.092m의 정확도로서, 다양한 지형공간정보체계 자료기반 자료취득이 가능하였다.

• Journal of Biosystems Engineering
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• 제42권4호
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• pp.339-349
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• 2017

Purpose: This review focuses on the major 3-D image reconstruction techniques and their applications in plant and animal morphological analysis. Methods & Results: This paper begins with an overview of major 3-D image reconstruction techniques and their basic principles. Subsequently, their applications in plant and animal morphological analysis are reviewed. A discussion on the limitations and future research direction of 3-D imaging techniques for accurate, fast measurements and modeling of plant and animal morphological analysis follows. Conclusions: Owing to the increasing demand for plant and animal morphological analysis, the application of 3-D imaging techniques will increase in popularity among researchers and the agricultural industry.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1994년도 추계학술대회
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• pp.31-38
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• 1994

This paper proposed signal decomposition and multiresolution representation through wavelet transform using wavelet orthonormal basis. And it suggested most appropriate filter for scaling function in multiresoltion representation and compared two compression method, arithmetic coding and Huffman coding. Results are as follows 1. Daub18 coefficient is most appropriate in computing time, energy compaction, image quality. 2. In case of image browsing that should be small in size and good for recognition, it is reasonable to decompose to 3 scale using pyramidal algorithm. 3. For the case of progressive transmittion where requires most grateful image reconstruction from least number of sampls or reconstruction at any target rate, I embedded the data in order of significance after scaling to 5 step. 4. Medical images such as information loss is fatal have to be compressed by lossless method. As a result from compressing 5 scaled data through arithmetic coding and Huffman coding, I obtained that arithmetic coding is better than huffman coding in processing time and compression ratio. And in case of arithmetic coding I could compress to 38% to original image data.

• 한국멀티미디어학회논문지
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• 제7권12호
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• pp.1657-1664
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• 2004

We propose a method that classifies images into two object types man-made and natural objects. A central object is extracted from each image by using central object extraction method[1] before classification. A central object in an images defined as a set of regions that lies around center of the image and has significant color distribution against its surrounding. We define three measures to classify the object images. The first measure is energy of edge direction histogram. The energy is calculated based on the direction of only non-circular edges. The second measure is an energy difference along directions in Gabor filter dictionary. Maximum and minimum energy along directions in Gabor filter dictionary are selected and the energy difference is computed as the ratio of the maximum to the minimum value. The last one is a shape of an object, which is also represented by Gabor filter dictionary. Gabor filter dictionary for the shape of an object differs from the one for the texture in an object in which the former is computed from a binarized object image. Each measure is combined by using majority rule tin which decisions are made by the majority. A test with 600 images shows a classification accuracy of 86%.