Moon Gi Kang

Moon Gi Kang received his B.S. and M.S. degrees in electronics engineering from Seoul National University, South Korea, in 1986 and 1988, respectively, and his Ph.D. degree in electrical engineering from Northwestern University in 1994. He was an Assistant Professor at the University of Minnesota, Duluth, from 1994 to 1997, and since 1997, he has been in the Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea, where he is currently a Professor. His current research interests include image and video filtering, restoration, enhancement, and reconstruction. He served and currently serves as the Editorial Board Member for the IEEE Signal Processing Magazine, the Editor of SPIE Milestone Series Volume (CCD and CMOS imagers), the Guest Editor of the IEEE SPM Special Issue on Superresolution Image Reconstruction (May, 2003), the Editor of EURASIP Journal on Applied Signal Processing, and the Reviewer for the IEEE Transactions on Image Processing. He has also served as the Associate Editor for the Journal of Broadcast Engineering and Journal of IEEK (the Institute of Electronics Engineers of Korea). He is the recipient of the 2002 HaeDong Foundation Best Paper Award and the recipient of the 2000 Award of Teaching Excellence from the School of Electrical and Electronic Engineering at Yonsei University.

Biography Updated on 2 August 2005

Articles in Scholarly Journals [Incomplete List]

  1. Total Variation-Based Image Noise Reduction With Generalized Fidelity Function
    IEEE Signal Processing Letters, vol. 14, no. 11, pp. 832–835, 2007
  2. Edge-adaptive color interpolation for complementary color filter array
    International Journal of Imaging Systems and Technology, vol. 16, no. 3, pp. 92–102, 2006
  3. Edge-dependent interpolation-based deinterlacing using edge patterns
    Journal of Electronic Imaging, vol. 15, no. 4, p. 043003, 2006
  4. Super-Resolution Imaging: Analysis, Algorithms, and Applications
    EURASIP Journal on Applied Signal Processing, vol. 2006, Article ID 90531, 2 pages, 2006
  5. Wavelet-based denoising considering interscale and intrascale dependences
    Optical Engineering, vol. 44, no. 6, p. 067002, 2005
  6. Noise insensitive high resolution color interpolation scheme considering cross-channel correlation
    Optical Engineering, vol. 44, no. 12, p. 127006, 2005
  7. Spatially adaptive multi-resolution multispectral image fusion
    International Journal of Remote Sensing, vol. 25, no. 23, pp. 5491–5508, 2004
  8. Super-resolution approach to overcome physical limitations of imaging sensors: An overview
    International Journal of Imaging Systems and Technology, vol. 14, no. 2, pp. 36–46, 2004
  9. Spatially adaptive denoising based on nonstationary correlation assumption
    Optical Engineering, vol. 43, no. 3, p. 628, 2004
  10. Spatially Adaptive High-Resolution Image Reconstruction of DCT-Based Compressed Images
    IEEE Transactions on Image Processing, vol. 13, no. 4, pp. 573–585, 2004
  11. Color interpolation with variable color ratio considering cross-channel correlation
    Optical Engineering, vol. 43, no. 1, p. 34, 2004
  12. Optimal regularized image restoration algorithm based on backward diffusion equation
    Optical Engineering, vol. 43, no. 1, p. 51, 2004
  13. New edge dependent deinterlacing algorithm based on horizontal edge pattern
    IEEE Transactions on Consumer Electronics, vol. 49, no. 4, pp. 1508–1512, 2003
  14. Transform domain enhanced resizing for a discrete-cosine-transform-based codec
    Optical Engineering, vol. 42, no. 11, p. 3204, 2003
  15. Regularized adaptive high-resolution image reconstruction considering inaccurate subpixel registration
    IEEE Transactions on Image Processing, vol. 12, no. 7, pp. 826–837, 2003
  16. Super-resolution image reconstruction
    IEEE Signal Processing Magazine, vol. 20, no. 3, pp. 19–20, 2003
  17. Super-resolution image reconstruction: a technical overview
    IEEE Signal Processing Magazine, vol. 20, no. 3, pp. 21–36, 2003
  18. Discrete cosine transform based high-resolution image reconstruction considering the inaccurate subpixel motion information
    Optical Engineering, vol. 41, no. 2, p. 370, 2002
  19. Edge-adaptive color interpolation algorithm for progressive scan charge-coupled device image sensors
    Optical Engineering, vol. 40, no. 12, p. 2698, 2001
  20. High definition color interpolation scheme for progressive scan CCD image sensor
    IEEE Transactions on Consumer Electronics, vol. 47, no. 1, pp. 179–186, 2001
  21. Design of real-time image enhancement preprocessor for CMOS image sensor
    IEEE Transactions on Consumer Electronics, vol. 46, no. 1, pp. 68–75, 2000
  22. Generalized interframe vertex-based shape encoding scheme for video sequences
    IEEE Transactions on Image Processing, vol. 9, no. 10, pp. 1667–1676, 2000
  23. Noise-adaptive edge-preserving image restoration algorithm
    Optical Engineering, vol. 39, no. 12, p. 3124, 2000
  24. Adaptive approximation bounds for vertex based contour encoding
    IEEE Transactions on Image Processing, vol. 8, no. 8, pp. 1142–1147, 1999
  25. Inter-frame vertex selection scheme for object-based image sequence coder
    IEEE Transactions on Consumer Electronics, vol. 45, no. 3, pp. 835–841, 1999
  26. Discrete cosine transform based regularized high-resolution image reconstruction algorithm
    Optical Engineering, vol. 38, no. 8, p. 1348, 1999
  27. Vertex-based inter-frame boundary encoding scheme
    Electronics Letters, vol. 34, no. 13, p. 1302, 1998
  28. Detection and removal of anomalies in digitized animation film
    International Journal of Imaging Systems and Technology, vol. 9, no. 4, pp. 283–293, 1998
  29. An algorithm to extract camera-shaking degree and noise variance in the peak-trace domain
    IEEE Transactions on Consumer Electronics, vol. 44, no. 3, pp. 1159–1168, 1998
  30. CCD noise filtering based on 3-dimensional nonlinear partial differential equation
    IEEE Transactions on Consumer Electronics, vol. 44, no. 3, pp. 1086–1090, 1998
  31. Generalized multichannel image deconvolution approach and its applications
    Optical Engineering, vol. 37, no. 11, p. 2953, 1998
  32. Simultaneous multichannel image restoration and estimation of the regularization parameters
    IEEE Transactions on Image Processing, vol. 6, no. 5, pp. 774–778, 1997
  33. General choice of the regularization functional in regularized image restoration
    IEEE Transactions on Image Processing, vol. 4, no. 5, pp. 594–602, 1995
  34. Spatially adaptive iterative algorithm for the restoration of astronomical images
    International Journal of Imaging Systems and Technology, vol. 6, no. 4, pp. 305–313, 1995
  35. Frequency-domain adaptive iterative image restoration and evaluation of the regularization parameter
    Optical Engineering, vol. 33, no. 10, p. 3222, 1994
  36. Simultaneous iterative image restoration and evaluation of the regularization parameter
    IEEE Transactions on Signal Processing, vol. 40, no. 9, pp. 2329–2334, 1992
  37. Phase estimation using the bispectrum and its application to image restoration
    Optical Engineering, vol. 30, no. 7, p. 976, 1991