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김창수 교수

Changsu Kim

고려대학교 차세대통신학과 · 컴퓨터과학

연구실 소개

김창수 교수의 연구실은 영상 압축 및 전송 기술, 유기 전자소자, 생체재료의 표면 구조 설계 등 다학제적 연구를 수행하고 있습니다. 특히 영상 전송의 신뢰성을 높이기 위한 다중 기술 기반 운동 벡터 인코딩과 움직임 보정 기법을 중심으로 영상 품질 유지 기술을 개발하고 있으며, 유기 태양전지 및 트랜지스터에 응용 가능한 고성능 전자 수송 물질 개발에도 주력하고 있습니다. 또한, 뼈 형성 세포의 분화를 촉진하는 생체재료의 미세 구조 설계 원리를 규명하여 의료용 implant 재료의 기초 기술을 확립하고자 합니다.

영상 전송유기 전자소자생체재료표면 구조 설계에너지 효율

연구 현황

논문 수
417
총 인용 수
10,043
최근 5년 논문
62
주요 분야
컴퓨터과학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
62총합
2021
2022
2023
2024
2025
5개년 연도별 피인용 수
679총합
20212022202320242025

주요 논문

15
1
논문|인용수 490·2013
Optimized contrast enhancement for real-time image and video dehazing
Jin Hwan Kim, Won-Dong Jang, Jae-Young Sim, Chang‐Su Kim
SJR Q1Journal of Visual Communication and Image Representation
Computer Vision and Pattern RecognitionComputer Science
2
논문|인용수 320·2005
Technologies for 3D mesh compression: A survey
Jingliang Peng, Chang‐Su Kim, C.‐C. Jay Kuo
SJR Q1Journal of Visual Communication and Image Representation
Computer Graphics and Computer-Aided DesignComputer Science
3
논문|인용수 141·2005
Cross-border R&D alliances, absorptive capacity and technology learning
Chang‐Su Kim, Andrew C. Inkpen
SJR Q1Journal of International Management
Strategy and ManagementBusiness, Management and Accounting
4
논문|인용수 65·2001
Multiple description coding of motion fields for robust video transmission
Chang‐Su Kim, Sang-Uk Lee
SJR Q1IEEE Transactions on Circuits and Systems for Video Technology

In many video-coding standards, the motion vector field is one of the most important data in the compressed bitstream, and its loss can lead to severe degradation in the decoded picture quality. We propose the multiple description motion coding (MDMC) algorithm to enhance the robustness of the motion vector field against transmission errors. In MDMC, the motion vector field is encoded into two descriptions, which are transmitted over distinct channels to the decoder. The decoder is designed to p

Signal ProcessingComputer Science
5
논문|인용수 59·2004
Toward a diffusion model for Internet systems
Chang‐Su Kim, Robert D. Galliers
SJR Q1Internet Research

The world of business is being profoundly transformed by the Internet and electronic commerce. The rapid advancement of Internet technology and its applications holds promise for the expansion of business opportunities in the global digital economy. Internet systems support a world‐wide broadcasting capability, a mechanism for information dissemination and a medium for electronic commerce between organizations and customers across countries. Describes research that leads to the derivation of a d

Strategy and ManagementBusiness, Management and Accounting
6
논문|인용수 51·2009
Robust image watermarking using local Zernike moments
Nitin Singhal, Young-Yoon Lee, Chang‐Su Kim, Sang-Uk Lee
SJR Q1Journal of Visual Communication and Image Representation
Computer Vision and Pattern RecognitionComputer Science
7
논문|인용수 46·2017
Contrast enhancement of noisy low-light images based on structure-texture-noise decomposition
Jaemoon Lim, Minhyeok Heo, Chul Lee, Chang‐Su Kim
SJR Q1Journal of Visual Communication and Image Representation
Computer Vision and Pattern RecognitionComputer Science
8
논문|인용수 46·2009
Cobaltocene-Doped Viologen as Functional Components in Organic Electronics
Chang‐Su Kim, Stephanie S. Lee, Leonard L. Tinker, Stefan Bernhard, Yueh‐Lin Loo
SJR Q1Chemistry of Materials

Given the energy level alignment between viologen and cobaltocene, cobaltocene readily transfers electrons to the intrinsically insulating viologen, resulting in the formation of an electron transfer complex with high electron density. When cobaltocene−viologen is incorporated as active layers in organic thin-film transistors, the output current of devices scales with increasing cobaltocene concentrations. We further demonstrate that cobaltocene−viologen makes effective electron transport layers

Electrical and Electronic EngineeringEngineering
9
논문|인용수 46·2017
A Specific Groove Pattern Can Effectively Induce Osteoblast Differentiation
Chang‐Su Kim, Jin‐Hee Kim, Bokyoung Kim, Young‐Seok Park, Hong‐Kyun Kim, Hong‐Kyun Kim, Hieu Tran, Sang Hoon Kim, Hojeong Jeon, Sangjib Kim, Ji Hyun Sim, Hyun Mu Shin
SJR Q1Advanced Functional MaterialsOA

Abstract Little is known about the principles of surface structure design for orthopedic and dental implants. To find topographical groove patterns that could enhance osteoblast differentiation according to cell type, groove patterns are fabricated with ridges (0.35−7 µm) and grooves (0.65−6 µm) of various widths and explored their mechanisms in improving osteoblast differentiation. This study finds that a groove pattern enhancing osteoblast differentiation is associated with the ability of the

Biomedical EngineeringEngineering
10
논문|인용수 41·2018
Photographic composition classification and dominant geometric element detection for outdoor scenes
Jun-Tae Lee, Hanul Kim, Chul Lee, Chang‐Su Kim
SJR Q1Journal of Visual Communication and Image Representation
Computer Vision and Pattern RecognitionComputer Science
11
논문|인용수 40·2001
Robust transmission of video sequence using double-vector motion compensation
Chang‐Su Kim, Chang‐Su Kim, Sanguk Lee
SJR Q1IEEE Transactions on Circuits and Systems for Video Technology

This paper proposes a motion compensation (MC) algorithm for robust transmission of video sequence, called the double-vector motion compensation (DMC). In the DMC, each block B in a frame is predicted from the weighted superposition of two blocks in the previous two frames, using two motion vectors. Therefore, when one of these two blocks is corrupted during the transmission, the decoder can efficiently suppress its error propagation to the subsequent frames, by predicting B only from the other

Signal ProcessingComputer Science
12
논문|인용수 39·2003
Subband coding of color images using finite state vector quantization
Chang‐Su Kim, J.A. Bruder, M.J.T. Smith, R.M. Mersereau

Subband coding (SBC) has been shown to be an effective method for coding monochrome images at low bit rates. SBC systems decompose the input image into a small number of decimated, spectrally disjoint subband images which are then coded by a variety of means. Reconstruction is performed by decoding and merging the reinterpolated subband images. This work investigates the application of the subband concept to the efficient coding of color images. The color representations are cast into a subband

Computer Vision and Pattern RecognitionComputer Science
13
letter|인용수 37·1998
Fractal coding of video sequence using circular prediction mapping and noncontractive interframe mapping
Chang‐Su Kim, Chang‐Su Kim, Sang-Uk Lee
SJR Q1IEEE Transactions on Image Processing

We propose a novel algorithm for fractal video sequence coding, based on the circular prediction mapping and the noncontractive interframe mapping. The proposed algorithm can effectively exploit the temporal correlation in real image sequences, since each range block is approximated by the domain block in the adjacent frame, which is of the same size as the range block. The computer simulation results demonstrate that the proposed algorithm provides very promising performance at low bit rate, ra

Mathematical PhysicsMathematics
14
논문|인용수 33·2009
Error concealment of multi-view video sequences using inter-view and intra-view correlations
Kwanwoong Song, Tae‐Young Chung, Yunje Oh, Chang‐Su Kim
SJR Q1Journal of Visual Communication and Image Representation
Signal ProcessingComputer Science
15
논문|인용수 31·2002
Multiple description motion coding algorithm for robust video transmission
Chang‐Su Kim, Sang-Uk Lee

This paper proposes a novel algorithm for robust transmission of video sequences, based on the multiple description motion coding (MDMC). In the MDMC, the motion vector field is encoded into two descriptions, which are transmitted over distinct channels to the decoder. The decoder is designed to provide an acceptable quality prediction image, even if one of the descriptions is lost during the transmission. Moreover, the decoder reconstructs a higher quality prediction image, if both the descript

Computer Vision and Pattern RecognitionComputer Science

대표 연구 분야

Computer Vision and Pattern RecognitionSignal ProcessingComputer Graphics and Computer-Aided DesignElectrical and Electronic EngineeringManagement Science and Operations ResearchComputational Mechanics

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