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SUK HWAN LIM

Mailing Address

1501 Page Mill Road, MS 1203

Hewlett-Packard Laboratories

Palo Alto, CA 94304Email and Phone

suk-hwan.lim@hp.com sukhwan@stanfordalumni.org (650) 857-4244

EDUCATION

Ph.D. in Electrical Engineering,Stanford University, Stanford, CA March 2003 Concentrations: Digital image and video processing, CMOS circuits and image sensors Thesis: Video Processing Applications of High Speed CMOS Image Sensor (Advisor: Prof. El Gamal) M.S. in Electrical Engineering,Stanford University, Stanford, CA June 1998 Concentrations: Signal Processing, Imaging, VLSI design, Communications B.S. in Electrical Engineering (high honor),Seoul National University, Seoul, Korea August 1996 Concentrations: Signal Processing, Control, Communications

PROFESSIONAL EXPERIENCE

Principal Research Scientist, Hewlett-Packard Laboratories08/2009 - present Senior Member of Technical Sta®10/2006 - 08/2009

Member of Technical Sta®06/2003 - 10/2006

Post-doc Researcher01/2003 - 06/2003

Conduct researches in imaging and printing systems and image/video processing algorithms for applica-

tions in mobile imaging, image sequence processing, web printing and analysis of large set of images.

Solving challenging low-light problems in mobile imaging

Made contributions to low-noise color correction for wide band color ¯lters, noise ¯ltering, deblurring and

compression artifact reduction. Since the low-light problem is a very challenging problem in mobile imaging,

the approach has been to tackle the problem with a series of technologies such that the gains or incremental

performance improvement of each technology adds up and lead to signi¯cant improvement in low light

performance. Developed image/video analysis algorithms to detect photographs with quality issues and estimate the degree of degradation for enhancement and restoration. Noise ¯ltering for challenging photos with realistic noise from unknown source Low noise image processing methods (color correction, contrast enhancement and sharpening) Image stabilization and enhancement for mobile imaging via multiple captures Blur estimation and deblurring via dual captured images Alleviate compression artifacts in images captured for mobile imagers Automatic assessment of focus quality of digital photos

Analysis of noise characteristics in digital photos and estimating noise pro¯les directly from images

Fixed pattern and random noise removal for calibration in projector-camera systems Image/video processing for image sequences or a large set of images

Made contributions to motion/optical °ow estimation and correspondence matching for applications such

as multi-frame image enhancement, augmented reality, camera calibration and image retrieval. Developed

multi-frame processing applications. Brightness-invariant local feature detection and analysis

Optical °ow estimation with outlier rejection

Multi-frame processing for enhancement and compositing

S.H. Lim

p. 2 Research Assistant/Ph.D. Candidate, Stanford University, CA09/1997 - 12/2002 Worked in Smart Image Sensor Group on Programmable Digital Camera (PDC) Project under Prof. El Gamal Co-designed a CIF (352x288) size high-speed (10,000 frames/s) CMOS image sensor in a standard 0.18 m CMOS technology (successfully fabricated and tested) Developed a method for obtaining high accuracy optical °ow estimates at a standard frame rate by capturing and processing a high frame rate version of the video

Developed an algorithm that corrects for pixel-to-pixel gain variations in an image sensor without the

need for uniform illumination based on the use of motion estimation Architectural studies of column level processing in programmable digital camera

Miscellaneous class projects

Digital Imaging (EE392B): Surveyed and presented various algorithms for digital camera pipeline: Color interpolation, Color correction, White balancing, Auto exposure, Auto focus, Gamma correction algorithms Digital Imaging (EE392B): Implemented and compared performances of each algorithm various Auto- focus algorithms in MATLAB

Digital Video Processing (EE392J): Implemented and simulated accurate optical °ow estimation meth-

ods for high-speed imaging Image Video Compression (EE392C): Motion estimation with reduced computation complexity for video compression standards

Digital Circuit Design (EE371): Designed the architecture of 64-bit segmented multiplier for multime-

dia applications and simulated critical path delay using HSPICE and wire data DSP Architecture and Programming (EE487): Generated layout using Verilog and Synopsys design compiler/analyzer and simulated speed and power consumption for low power digital correlators in

GPS receivers

DSP Architecture and Programming (EE487): Programmed 2D-FFT in TMS320C54x assembly lan- guage and simulated using TI software Computer Architecture (EE282H): Performance optimization of pipeline and cache of MIPS-DLX in

Verilog and C

PUBLICATIONS

1. F. Tang, S.H. Lim, N.L. Chang, H. Tao,\A Novel Feature Descriptor Invariant to Complex Brightness Change", in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

2009, Miami, FL, June 2009.

2. S.H. Lim, R. Maurer, P. Kisilev, \Denoising Scheme for Realistic Digital Photos from Unknown Source", in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Pro- cessing (ICASSP) 2009, Taipei, Taiwan, April 2009. 3. F. Tang, S.H. Lim, \Brightness-Invariant Features for Tracking and Analysis", HP Labs Technical

Report 2008-170.

4. S.H. Lim and A. Silverstein \Estimation and Removal of Motion Blur by Capturing Two Images with Di®erent Exposures", HP Labs Technical Report 2008-170. 5. M. Chen, S.H. Lim, Q. Lin, \Multi-image processing technologies for image enhancement", The 6th International Conference on Image Science and Hardcopy, Guangdong, China, January 2008. 6. R. Samadani, S.H. Lim, D. Tretter, \Representative Image Thumbnails for Good Browsing", in Pro- ceedings of the IEEE International Conference on Image Processing (ICIP) 2007, San Antonio, TX,

September 2007.

S.H. Lim

p. 3 7. P. Kisilev, D. Shaked, S.H. Lim, \Noise and Signal Activity Maps for Better Imaging Algorithms", in Proceedings of the IEEE International Conference on Image Processing (ICIP) 2007, San Antonio,

TX, September 2007

8. J. Yen, D. Mukherjee, S.H. Lim, D. Tretter, \Pet fur color and texture classi¯cation", in Proceedings

of the SPIE Vol. 6508-68, January 2007. 9. R. Samadani, S.H. Lim, \Alleviating compression artifacts in images captured with camera-phones", Invited talk in Camera Phone Image Quality Technical Forum, Stanford, CA, December 7, 2006 10. S.H. Lim, \Characterization of Noise in Digital Photographs for Image Processing," in Proceedings of the SPIE Vol. 6069, January 2006. 11. S.H. Lim, J. Yen and P. Wu, \Automatic Focus Quality Analysis for Managing Large Collection of Digital Photographs," in Proceedings of the SPIE Vol. 6015, 601510-1, October 2005. 12. S.H. Lim and A. El Gamal, \Optical °ow estimation using temporally oversampled video" in IEEE Transactions on Image Processing, Vol. 14, No. 8, pp. 1074-1087, August 2005. 13. S.H. Lim and A. Silverstein, \Spatially Varying Color Correction (SVCC) Matrices for Reduced Noise," in Proceedings of the 12th Color Imaging Conference (CIC), pp. 76-81, Scottsdale, AZ, November 2004. 14. S.H. Lim, J. Apostolopoulos and A. El Gamal, \Bene¯ts of temporal oversampling in optical °ow estimation," in Proceedings of the IEEE 2004 International Conference on Image Processing (ICIP), v.4, pp. 2567-2570, October 2004. 15. S.H. Lim, J. Yen and P. Wu, \Detection of Out-Of-Focus Digital Photographs," HP Labs Technical

Report 2005-14.

16.

S.H. Lim and A. El Gamal, \Gain ¯xed pattern noise correction via optical °ow estimation," in IEEE

Transactions on Circuits and Systems, Vol. 51, No. 4, pp. 779-786, April 2004. 17. S.H. Lim, \CMOS Imaging: Technology and Applications", Invited talk in Nano2002 Workshop III: Data Analysis and Imaging, Westwood, CA, November 5, 2002 18. A.O. Ercan, F. Xiao, X. Liu, S.H. Lim, A. El Gamal and B. Wandell, \Experimental High Speed CMOS Image Sensor System and Applications," in Proceedings of the 2002 IEEE Sensors Conference,

Vol. 1, pp. 15-20, Orlando, Florida, June 2002.

19. S.H. Lim and A. El Gamal, \Gain ¯xed pattern noise correction via optical °ow estimation," in Proceedings of SPIE Electronic Imaging Conference, v.4669, pp. 384-391, San Jose, CA, January 2002.
20. S. Kleinfelder, S.H. Lim, X. Liu and A. El Gamal, \A 10,000 frame/s 0.18 m CMOS digital pixel sensor with pixel-level memory" in IEEE Journal of Solid State Circuits, Vol. 36, No. 12, pp. 2049-2059,

December 2001.

21.

S.H. Lim and A. El Gamal, \Optical °ow estimation using high frame rate sequences," in Proceedings

of the IEEE 2001 International Conference on Image Processing (ICIP), v.2, pp. 925-928, Thessaloniki,

Greece, October 2001.

22.
S. Kleinfelder, S.H. Lim, X. Liu and A. El Gamal, \A 10,000 frame/s 0.18 m CMOS digital pixel

sensor with pixel-level memory," in Digest of Technical Papers, IEEE International Solid-State Circuits

Conference (ISSCC), pp. 88-89, San Francisco, CA, February 2001. 23.
S.H. Lim and A. El Gamal, \Integration of Image Capture and Processing," in Proceedings of SPIE Electronic Imaging Conference, v.4306, pp. 219-226, San Jose, CA, January 2001. 24.
H. Tian, X. Liu, S.H. Lim, S. Kleinfelder and A. El Gamal, \Active pixel sensors fabricated in a standard 0.18 um CMOS technology" in Proceedings of SPIE Electronic Imaging Conference, v.4306, pp. 441-449, San Jose, CA, January 2001.

S.H. Lim

p. 4

PATENTS

5 patents granted

²7,551,772 Blur estimation in a digital image

7,522,782 Digital image denoising

²7,394,929 Digital picture image color conversion

6,927,796 CMOS image sensor system with self-reset digital pixel architecture for improving SNR and

dynamic range

6,642,543 Thin and thick gate oxide transistors on a functional block of a CMOS circuit residing within

the core of an IC chip

25+ patents in pipeline (Select list from published (pre-grant) patents)

20090034864 Multi-scale robust sharpening and contrast enhancement

20090027504 System and method for calibrating a camera

20080267530 Generating compound images having increased sharpness and reduced noise

20080075383 Methods and systems for identifying an ill-exposed image

20080024618 Adaptive binning method and apparatus

20070242900 Combining multiple exposure images to increase dynamic range

20070132874 Selecting quality images from multiple captured images

20070009176 Multi-resolution processing of digital signals

20070009175 Image processing based on local noise statistics

20060279639 Method and system for deblurring an image based on motion tracking

20060226337 Digital image denoising

20060187308 Method for deblurring an image

²20060153471 Method and system for determining an indication of focus of an image

PROFESSIONAL ACTIVITIES

Reviewer for IEEE International Conference on Image Processing 2009 Session Chair in IEEE International Conference on Acoustics, Speech and Signal Processing 2009 Technical Program Committee for International Conference on Imaging Theory and Applications 2009 Reviewer for IEEE International Conference on Image Processing 2008 Technical Program Committee for ACM/IEEE International Conference on Distributed Smart Cameras 2007
Reviewer for ACM International Conference on Multimedia 2007 Reviewer for IEEE International Conference on Image Processing 2007 Technical Program Committee for IEEE International Conference on Image Processing 2006 Session Chair for the SPIE OpticsEast 2005 conference, Boston, MA, October 2005 Technical Program Committee for IEEE International Conference on Image Processing 2005 Reviewer for IEEE International Symposium on Circuits and Systems 2005 Poster Chair for HP Imaging and Color Symposium 2004, Palo Alto, CA, November 2004 Technical Program Committee for IEEE International Conference on Image Processing 2004

Refereed many journal papers

S.H. Lim

p. 5

IEEE Transactions on Image Processing

{IEEE Transactions on Circuits and Systems IEEE Transactions on Circuits and Systems for Video Technology

Journal of Electronic Imaging

TECHNICAL SKILLS

MATLAB, C/C++, DSP assembly language, Circuit design tools learned in school (Verilog (behavioral and

RTL level), Magic, IRSIM, HSPICE, Mwaves and etc)

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