Submitted/In preparation

Book Chapters

  1. Raja Bala, Graham Finlayson, and Chul Lee, “Computational Color Imaging,” in Handbook of Convex Optimization Methods in Imaging Science, Ed. Vishal Monga, Springer, pp. 43–70, 2017.

Journal Papers

  1. Jun-Tae Lee, Chul Lee, and Chang-Su Kim, “Property-specific aesthetic assessment with unsupervised aesthetic property discovery,” IEEE Access, vol. 7, pp. 114349–114362, Aug. 2019.

  2. Zhenhua Zhou, Edmund Y. Lam, and Chul Lee, “Nonlocal means filtering based speckle removal utilizing the maximum a posteriori estimation and the total variation image prior,” IEEE Access, vol. 7, pp. 99231–99243, Aug. 2019.

  3. Jun-Tae Lee, Han-Ul Kim, Chul Lee, and Chang-Su Kim, “Photographic composition classification and dominant geometric element detection for outdoor scenes,” Journal of Visual Communication and Image Representation, vol. 55, pp. 91–105, Aug. 2018. [Project Page]

  4. Chul Lee and Edmund Y. Lam, “Computationally efficient brightness compensation and contrast enhancement for transmissive liquid crystal displays,” Journal of Real-Time Image Processing, vol. 14. no. 4, pp. 733–741, Apr. 2018. [Project Page]

  5. Jaemoon Lim, Minhyeok Heo, Chul Lee, and Chang-Su Kim, “Contrast enhancement of noisy low-light images based on structure-texture-noise decomposition,” Journal of Visual Communication and Image Representation, vol. 45, pp. 107–121, May 2017.

  6. Yuelong Li, Chul Lee, and Vishal Monga, “A maximum a posteriori estimation framework for robust high dynamic range video synthesis,” IEEE Transactions on Image Processing, vol. 26, no. 3, pp. 1143–1157, Mar. 2017. [Project Page]

  7. Chul Lee and Vishal Monga, “Power-constrained RGB-to-RGBW conversion for emissive displays: Optimization-based approaches,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 10, pp. 1821–1834, Oct. 2016.

  8. Chul Lee and Edmund Y. Lam, “Computationally efficient truncated nuclear norm minimization for high dynamic range imaging,” IEEE Transactions on Image Processing, vol. 25, no. 9, pp. 4145–4157, Sep. 2016. [Project Page]

  9. Chul Lee, Yuelong Li, and Vishal Monga, “Ghost-free high dynamic range imaging via rank minimization,” IEEE Signal Processing Letters, vol. 21, no. 9, pp. 1045-1049, Sep. 2014. [Project Page]

  10. Chul Lee, Jin-Hwan Kim, Chulwoo Lee, and Chang-Su Kim, “Optimized brightness compensation and contrast enhancement for transmissive liquid crystal displays,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 4, pp. 576-590, Apr. 2014. [Project Page]

  11. Chulwoo Lee, Chul Lee, and Chang-Su Kim, “Contrast enhancement based on layered difference representation of 2D histograms,” IEEE Transactions on Image Processing, vol. 22, no. 12, pp. 5372-5384, Dec. 2013. [Project Page]

  12. Seong-Gyun Jeong, Chul Lee, and Chang-Su Kim, “Motion-compensated frame interpolation based on multihypothesis motion estimation and texture optimization,” IEEE Transactions on Image Processing, vol. 22, no. 11, pp. 4497–4509, Nov. 2013. [Project Page]

  13. Chul Lee and Chang-Su Kim, “Rate-distortion optimized layered coding of high dynamic range videos,” Journal of Visual Communication and Image Representation, vol. 23, no. 6, pp. 908–923, Aug. 2012.

  14. Chul Lee, Chulwoo Lee, and Chang-Su Kim, “An MMSE approach to nonlocal image denoising: Theory and practical implementation,” Journal of Visual Communication and Image Representation, vol. 23, no. 3, pp. 476–490, Apr. 2012. (Top 25 hottest article–2012 full year, Winner of Best Paper Award)

  15. Chulwoo Lee, Chul Lee, Young-Yoon Lee, and Chang-Su Kim, “Power-constrained contrast enhancement for emissive displays based on histogram equalization,” IEEE Transactions on Image Processing, vol. 21, no. 1, pp. 80–93, Jan. 2012. [Project Page]

  16. Jae-Kyun Ahn, Dae-Yeon Lee, Chul Lee, and Chang-Su Kim, “Automatic moving object segmentation from video sequences using alternate flashing system,” EURASIP Journal on Advances in Signal Processing, vol. 2010, Article ID 340717, 14 pages, 2010.

Conference Papers

  1. Junheum Park, Chul Lee, and Chang-Su Kim, “Deep learning approach to video frame rate up-conversion using bilateral motion estimation,” to appear in Proc. APSIPA Annual Summit and Conference (ASC), Lanzhou, China, Nov. 2019.

  2. Inho Jeong and Chul Lee, “Low-light video enhancement based on optimal gamma correction parameter estimation,” in Proc. International Workshop on Frontiers of Computer Vision (IW-FCV), Gangneung, Korea, Feb. 2019. (Best Paper Award)

  3. Thuong Van Nguyen, An Gia Vien, and Chul Lee, “Fast image dehazing based on multi-scale guided filtering,” in Proc. International Workshop on Advanced Image Technology (IWAIT), Singapore, Jan. 2019.

  4. Nam Hoang Nguyen, Tu Van Vo, Younghoon Jeong, Youngsu Moon, and Chul Lee, “Optimized tone mapping of HDR images via HVS model-based 2D histogram equalization,” in Proc. APSIPA Annual Summit and Conference (ASC), Honolulu, HI, Nov. 2018, pp. 700–704.

  5. Nam Hoang Nguyen, Tu Van Vo, and Chul Lee, “HVS model-based tone mapping technique for displaying HDR10 contents,” in Proc. International Meeting on Information Display (IMID), Busan, Korea, Aug. 2018.

  6. Tu Van Vo and Chul Lee, “Robust HDR video synthesis using superpixel-based illumination invariant motion estimation,” in Proc. IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), Jeju, Korea, Jun. 2018, pp. 245–246.

  7. An Gia Vien and Chul Lee, “Single-shot high dynamic range imaging via deep convolutional neural network,” in Proc. APSIPA Annual Summit and Conference (ASC), Kuala Lumpur, Malaysia, Dec. 2017, pp. 1768–1772.

  8. Jun-Tae Lee, Han-Ul Kim, Chul Lee, and Chang-Su Kim, “Semantic line detection and its applications,” in Proc. IEEE International Conference on Computer Vision (ICCV), Venice, Italy, Oct. 2017, pp. 3229-3237. [Project Page]

  9. An Gia Vien and Chul Lee, “Deep learning-based single-shot HDR imaging,” in Proc. International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), Busan, Korea, Jul. 2017, pp. 857–858.

  10. Chul Lee, “Rank minimization-based fast image completion,” in Proc. International Conference on Electronics, Information, and Communication (ICEIC), Phuket, Thailand, Jan. 2017, pp. 839–840.

  11. Jaemoon Lim, Minhyeok Heo, Chul Lee, and Chang-Su Kim, “Enhancement of noisy low-light images via structure-texture-noise decomposition,” in Proc. APSIPA Annual Summit and Conference (ASC), Jeju, Korea, Dec. 2016.

  12. Myoung-Gyu Seo, Sang-Yeob Kim, Jang-Bok Ju, and Chul Lee, “Beat estimation of non-periodic human movements using Kinect,” in Proc. IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), Seoul, Korea, Oct. 2016, pp. 547–548.

  13. Chul Lee and Edmund Y. Lam, “High dynamic range imaging via truncated nuclear norm minimization of low-rank matrix,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, China, Mar. 2016, pp. 1229–1233.

  14. Yuelong Li, Chul Lee, and Vishal Monga, “A MAP estimation framework for HDR video synthesis,” in Proc. IEEE International Conference on Image Processing (ICIP), Quebec City, Canada, Sep. 2015, pp. 2219–2223.

  15. Chul Lee and Vishal Monga, “Power-constrained RGB-to-RGBW conversion for emissive displays,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May 2014, pp. 1205-1209.

  16. Yeong Jun Koh, Chul Lee, Jae-Young Sim, and Chang-Su Kim, “Reliable optical flow estimation in motion-blurred regions,” in Proc. IEEE International Workshop on Multimedia Signal Processing (MMSP), Pula (Sardinia), Italy, Sep.–Oct. 2013, pp. 396-401

  17. Jin-Hwan Kim, Chul Lee, Jae-Young Sim, and Chang-Su Kim, “Single-image deraining using an adaptive nonlocal means filter,” in Proc. IEEE International Conference on Image Processing (ICIP), Melbourne, Australia, Sep. 2013, pp. 914–917.

  18. Chul Lee, Chang-Su Kim, and Sang-Uk Lee, “Probabilistic depth-guided multi-view image denoising,” in Proc. IEEE International Conference on Image Processing (ICIP), Melbourne, Australia, Sep. 2013, pp. 905–908.

  19. Chul Lee, Won-Dong Jang, Tae-Young Chung, and Chang-Su Kim, “Complex feature-based logo recognition,” in Proc. International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), Yeosu, Korea, Jun.-Jul. 2013.

  20. Chul Lee, Chulwoo Lee, and Chang-Su Kim, “Contrast enhancement using 2-D to 1-D histogram conversion,” in Proc. International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), Yeosu, Korea, Jun.-Jul. 2013.

  21. Seong-Gyun Jeong, Chul Lee, and Chang-Su Kim, “Exemplar-based frame rate up-conversion with congruent segmentation,” in Proc. IEEE International Conference on Image Processing (ICIP), Orlando, Florida, Sep.–Oct. 2012, pp. 845–848.

  22. Chulwoo Lee, Chul Lee, and Chang-Su Kim, “Contrast enhancement based on layered difference representation,” in Proc. IEEE International Conference on Image Processing (ICIP), Orlando, Florida, Sep.–Oct. 2012, pp. 965–968.

  23. Chul Lee, Jin-Hwan Kim, Chulwoo Lee, and Chang-Su Kim, “Power-constrained backlight scaling and contrast enhancement for TFT-LCD displays,” in Proc. IEEE International Conference on Image Processing (ICIP), Orlando, Florida, Sep.–Oct. 2012, pp. 2793–2796.

  24. Chulwoo Lee, Chul Lee, and Chang-Su Kim, “Power-constrained image processing techniques for emissive and non-emissive displays,” in Proc. The 11th International Meeting on Information Display (IMID), Seoul, Korea, Oct. 2011.

  25. Chulwoo Lee, Chul Lee, and Chang-Su Kim, “Gradient domain contrast enhancement with histogram-guided boundary conditions,” in Proc. IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, Sep. 2011, pp. 3433–3436.

  26. Chul Lee, Chulwoo Lee, and Chang-Su Kim, “MMSE nonlocal means denoising algorithm for Poisson noise removal,” in Proc. IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, Sep. 2011, pp. 2561–2564.

  27. Yeong Jun Koh, Sang-Hwan Kim, Chul Lee, and Chang-Su Kim, “Spatial video summarization using multi-camera based background subtraction,” in Proc. International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), Gyeongju, Korea, Jun. 2011, pp. 103–104.

  28. Chulwoo Lee, Chul Lee, and Chang-Su Kim, “Power-constrained contrast enhancement for OLED displays based on histogram equalization,” in Proc. IEEE International Conference on Image Processing (ICIP), Hong Kong, Sep. 2010, pp. 1689–1692.

  29. Dae-Youn Lee, Jae-Kyun Ahn, Chul Lee, and Chang-Su Kim, “High quality video acquisition and segmentation using alternate flashing system,” in Proc. Pacific-Rim Conference on Multimedia (PCM), Shanghai, China, Sep. 2010, pp. 452–461.

  30. Chul Lee and Chang-Su Kim, “Rate-distortion optimal bit allocation for high dynamic range video compression,” in Proc. International Workshop on Advanced Image Technology (IWAIT), Seoul, Korea, Jan. 2009.

  31. Chul Lee and Chang-Su Kim, “Rate-distortion optimized compression of high dynamic range videos,” in Proc. European Signal Processing Conference (EUSIPCO), Lausanne, Switzerland, Aug. 2008.

  32. Chul Lee and Chang-Su Kim, “Gradient domain tone mapping of high dynamic range videos,” in Proc. IEEE International Conference on Image Processing (ICIP), San Antonio, Texas, Sep. 2007, pp. 461–464.

Domestic Papers

  1. 비엔 지아 안, 이철, “임베디드 GPU에서의 딥러닝 기반 실시간 보행자 탐지 기법,” 방송공학회논문지, 제24권 제2호, pp. 357-360, 2019년 3월.

  2. Nam Hoang Nguyen, Tu Van Vo, 이철, “HVS model-based optimized tone mapping of HDR10 contents,” 제 31회 영상처리 및 이해에 관한 워크샵, 2019년 2월.

  3. Thuong Van Nguyen, 이철, “Real-time video dehazing based on multi-scale guided filtering,” 제 31회 영상처리 및 이해에 관한 워크샵, 2019년 2월.

  4. 정인호, 이철, “저조도 동영상의 대조비 향상을 위한 최적의 감마 보정 계수 추정 기법,” 제 31회 영상처리 및 이해에 관한 워크샵, 2019년 2월.

  5. 정인호, 이철, “저조도 영상의 대조비 향상을 위한 최적의 감마 보정 계수 추정 기법,” 한국방송미디어공학회 추계학술대회, 2018년 11월.

  6. Tu Van Vo, 이철, “슈퍼픽셀 기반의 움직임 추정을 이용한 HDR 동영상 합성,” 한국방송미디어공학회 하계학술대회, 2018년 6월.

  7. 비엔 지아 안, 이철, “시각 인지 특성과 딥 컨볼루션 뉴럴 네트워크를 이용한 단일 영상 기반 HDR 영상 취득,” 방송공학회논문지, 제23권 제3호, pp. 369–382, 2018년 5월.

  8. An Gia Vien, 이철, “HVS-aware single-shot HDR imaging using deep CNN,” 제 30회 영상처리 및 이해에 관한 워크샵, 2018년 2월.

  9. 서혜진, 김민주, 이예진, 박해리, 이철, “딥러닝을 이용한 실시간 운동 자세 교정 프로그램 구현,” 한국멀티미디어학회 추계학술발표대회, 2017년 11월.

  10. 배기현, 박주영, 김고은, 전지응, 이철, “다중 참여형 웹툰 웹 애플리케이션 구현,” 한국멀티미디어학회 추계학술발표대회, 2017년 11월.

  11. 서명규, 김상엽, 주장복, 이철, “키넥트를 이용한 인간 움직임의 주파수 예측 및 이를 활용한 응용 프로그램 구현,” 한국멀티미디어학회 논문지, 제 20권 8호, pp. 1248–1257, 2017년 8월.

  12. Tu Van Vo, 이철, “밝기 변화에 강인한 특징 기술자를 이용한 고품질 HDR 동영상 합성,” 한국방송미디어공학회 하계학술대회, 2017년 6월.

  13. 서혜진, Vien Gia An, 이철, “YOLO 기반 실시간 보행자 탐지 기법 구현,” 한국멀티미디어학회 춘계학술발표대회, pp. 898-899, 2017년 5월.

  14. Tu Van Vo, 이철, “밝기에 강인한 특징 기술자를 이용한 HDR 동영상 합성 기법,” 제 29회 영상처리 및 이해에 관한 워크샵, 2017년 2월.

  15. 조수현, 남동훈, 전지은, 이철, “키넥트를 이용한 수화 교육 프로그램 구현,” 한국멀티미디어학회 추계학술발표대회, 제19권, 2호, pp. 579–580, 2016년 10월.

  16. 이철, “Truncated nuclear norm 최소화를 이용한 HDR 영상 합성,” 한국방송공학회 추계학술대회, 2015년 11월.

  17. 이철우, 김진환, 이철, 김창수, “저전력 화질 개선 기법,” 제 26회 영상처리 및 이해에 관한 워크샵, 2014년 2월.

  18. 김창수, 이철우, 이철, “스마트폰을 위한 화질 개선 기술,” 한국통신학회 학회지, 제29권 4호, pp. 30–36, 2012년 4월.

  19. 김진환, 이철, 이철우, 김창수, “OLED 디스플레이를 위한 저전력 대조비 향상 기법,” 한국방송공학회 논문지, 제 17권 2호, pp. 284–294, 2012년 3월.

  20. 고영준, 김상환, 이철, 김창수, “객체 추적을 이용한 다중 카메라 환경에서의 임의 시점 영상 추출,” 제 24회 영상처리 및 이해에 관한 워크샵, 2012년 2월.

  21. 김진환, 이철, 이철우, 김창수, “OLED를 위한 저전력 화질 개선 기법,” 한국방송공학회 추계학술대회, 2011년 11월. (최우수학생논문상)

  22. 이철, 김진환, 이철우, 김창수, “TFT-LCD 디스플레이를 위한 저전력 화질 개선 기법,” 한국방송공학회 하계학술대회, 2011년 7월.

  23. 이철우, 이철, 김창수, “제한 전력 환경에서 OLED 디스플레이를 위한 화질 개선 기법,” 제23회 영상처리 및 이해에 관한 워크샵, 2011년 2월.

  24. 이철우, 이철, 김창수, “OLED 디스플레이를 위한 저전력 영상 화질 개선 기법,” 한국방송공학회 하계학술대회, 2010년 7월.

  25. 이철, 이철우, 김창수, “적응적 가중치를 사용한 비국소적 영상 잡음 제거 기법,” 한국방송공학회 하계학술대회, 2010년 7월.

  26. 이철, 김창수, “블록별 그래디언트 영역 처리를 이용한 동영상의 화질개선 기법,” 대한전자공학회 추계학술대회, 2009년 11월.

  27. 이철, 김창수, “비트율-왜곡 최적화를 이용한 HDR 동영상의 압축 기법,” 제21회 신호처리 합동 학술대회, 2008년 9월.

  28. 이철, 김창수, “블록별 양자화를 이용한 HDR 영상의 효율적인 JPEG 압축 기법,” 전기전자학회 논문지, 제11권 4호, pp. 219–226, 2007년 12월.

  29. 이철, 김창수, “블록별 양자화를 이용한 High Dynamic Range 영상의 JPEG 압축,” 한국방송공학회 학술대회, 2007년 11월.

  30. 이철, 김창수, “신뢰도 전파를 이용한 HDR 영상의 동적 영역 압축,” 대한전자공학회 하계학술대회, 제30권 1호, pp. 267–268, 2007년 7월.

Patents

  1. Su Bin Lee, Chul Lee, Thuong Van Nguyen, and An Gia Vien, “Method for removing fog and apparatus therefor,” Appl. No. 10-2019-0050319, Apr. 30, 2019.

  2. Younghoon Jeong, Nam Hoang Nguyen, Chul Lee, Joseph Kim, Jaemoon Lim, and Tu Van Vo, “Electric device and control method thereof,” Appl. No. 10-2018-0110539, Sep. 14, 2018.

  3. Myoung Gyu Seo, Sang Yeob Kim, Jang Bok Ju, and Chul Lee, “A method for estimating the frequency of human movement,” Patent No. 10-1864437, May 29, 2018.

  4. Chul Lee and Edmund Y. Lam, “Apparatus for processing high dynamic range imaging,” Patent No. 10-1740647, May 22, 2017.

  5. Chul Lee and Edmund Y. Lam, “Efficient low power contrast enhancement apparatus and method for transmissive LCDs,” Appl. No. PCT/KR2016/012499, Nov. 2, 2016.

  6. Chul Lee and Edmund Y. Lam, “Efficient low power contrast enhancement apparatus and method for transmissive LCDs,” Patent No. 10-1980826, May 15, 2019.

  7. Jong-Hoon Won, Kazuhiko Sugimoto, Masataka Hamada, Chang-Su Kim, Yeong-Jun Koh, Dae-Youn Lee, and Chul Lee, “Apparatus, method, and processor for measuring change in distance between a camera and an object,” Patent No. US 9,798,951 B2, Oct. 24, 2017.

  8. Jong Hoon Won, Kazuhiko Sugimoto, Masataka Hamada, Chang-Su Kim, Yeong Jun Koh, Dae-Youn Lee, and Chul Lee, “Method for measuring changes of distance between the camera and the object using object tracking, Computer readable storage medium of recording the method and a device measuring changes of distance,” Appl. No. 10-2013-0122215, Oct. 14, 2013.

  9. Chulwoo Lee, Chang-Su Kim, and Chul Lee, “Apparatus and method for providing image,” Patent No. 10-1182637, Sep. 7, 2012.

  10. Chang-Su Kim, Chulwoo Lee, and Chul Lee, “Apparatus and method for providing image,” Pub. No. WO2012/086900, Jun. 28, 2012.

  11. Chang-Su Kim, Dae-Youn Lee, Jae-Kyun Ahn, and Chul Lee, “Apparatus and method for improving image quality using flash device,” Patent No. 10-1004623, Dec. 22, 2010.

  12. Geun-Yeung Jea, Chang-Su Kim, and Chul Lee, “Apparatus for treatment of animation and method for improvement of animation quality,” Appl. No. 10-2007-0092771, Sep. 12, 2007.

  13. Ki-Chul Cha, Woo-Jae Lee, Byoung-Nyoun Kim, and Chul Lee, “Apparatus for measurement of height,” Patent No. 10-0616059, Aug. 18, 2006.

Invited Talks

  1. “Recent trends in deep learning-based HDR imaging,” Korea Information Processing Society (KIPS) Fall Conference, Nov. 2018.

  2. “HVS model-based tone mapping technique for displaying HDR10 contents,” Samsung Display Co., Ltd., Oct. 2018.

  3. “Computationally efficient truncated nuclear norm minimization with applications to HDR imaging,” Workshop on Image Processing and Image Understanding (IPIU2016), Feb. 2016.

Thesis

  1. Chul Lee, “Image restoration with MMSE nonlocal means filtering,” Ph.D. dissertation, Korea University, Dec. 2012.

  2. Chul Lee, “Tone mapping and encoding algorithms for HDR video sequences,” Master's thesis, Korea University, Jun. 2008.