EE225B, Spring 2006
Digital Image Processing
Wed. and Fri.: 9:30 - 11:00 am
203 McLaughlin
Prerequisite: EE123
Required Texts:
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J. S. Lim, Two-Dimensional Signal and Image Processing, Prentice Hall, 1990. (required)
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R. C. Gonzalez and R. E. Woods, Digital Image Processing, Addison-Wesley, second edition, 2002. (required)
Webcast
EE225B, Spring 2006
Computer Accounts
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Lecturer:
Professor Avideh Zakhor
avz@eecs.berkeley.edu
507 Cory Hall
Phone: (510) 643-6777
Office Hours:
Fridays, 11:00 - 12:00 pm, 507 Cory Hall
Teaching Assistant:
Cindy Liu
hsil@eecs.berkeley.edu
307 Cory Hall, Desk 30
Phone: (510) 643-1587
Office Hours:
Tuesday and Thursday, 3:30 - 5:00 pm, 479 Cory Hall
Course Assistant:
Rosita Alvarez-Croft
(510) 643-4976
rosita@eecs.berkeley.edu
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Course handouts:
Handouts not picked up during lectures can be found with the course assistant.
Recommended Texts:
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Bovik, Handbook of Image and Video Processing, Academic Press 2000, (recommended)
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N. Netravali and Barry G. Haskell, Digital Pictures, Plenum Press, 1988. (recommended)
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W. K. Pratt, Digital Image Processing, John Wiley and Sons, 1992. (recommended)
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M. Tekalp, Digital Video Processing, Prentice Hall, 1995. (recommended)
Other useful references:
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D. E. Dudgeon and R. M. Mersereau, Multi-Dimensional Digital Signal Processing, Prentice Hall, 1984.
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V. Oppenheim and R. W. Schafer, Digital Signal Processing, Prentice-Hall, 1975.
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T. S. Huang, editor, Two-Dimensional Digital Signal Processing, Topics in Applied Physics, vol. 42 and vol. 43, Springer-Verlag, 1981.
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S. K. Mitra and M. P. Ekstrom, editors, Two-Dimensional Digital Signal Processing, Dowden, Hutchison, and Ross, 1978.
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R. C. Gonzalez and P. Wintz, Digital Image Processing, Addison-Wesley, 1979.
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H. C. Andrews and B. R. Hunt, Digital Image Restoration, Prentice-Hall, 1977.
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H. C. Andrews, Tutorial and Selected Papers in Digital Image Processing, IEEE Press, 1978.
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W. F. Schrieber, Fundamentals of Electronic Imaging Systems, Springer-Verlag, 1986.
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K. Jain, Fundamentals of Digital Image Processing, Prentice Hall, 1989.
Outline of Topics:
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Image reconstruction from partial information
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Two-dimensional (2-D) Fourier transform and z-transform;
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2-D DFT and FFT, FIR and IIR filter design and implementation.
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Basics of Image Processing techniques and perception;
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Image and video enhancement
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Image and video restoration
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Reconstruction from multiple images
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Image and video analysis: Image Representation and models; image and video classfication and segmentation; edge and boundary detection in images
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Image compression and coding
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Video compression
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Image and Video Communication, storage and retreival
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Image and video rendering and assessment
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Image and video Acquisition
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Applications of image processing: Synthetic Aperture Radar, computed tomography, cardiac image processing, finger print classfication, human face recognition.
Homework:
Homework will be issued approximately once every one or two weeks. They will either consist of written assignments or Matlab assignments or C programming assignments. Homework will be graded, and will contribute 70% to the final grade. Homework handed in late will not be accepted unless consent is obtained from the teaching staff prior to the due date. There will be a term paper that will constitute 30% of your grade. The term paper can either be literature review of a topic of your own choosing, or a report on a project. Either way, you are to submit a proposal to the instructor by end of February. More details on the project will be provided later, and a list of suggested topics for literature review will be provided.
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Welcome to EE225B
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For the week of Feb. 21 - 24, Cindy's office hours will be Tues. and Wed. from 3:30 - 5:00 pm.
- Prof. Aaron Hertzmann's Talk on 4/19, 4:00 pm in 405 Soda,
"Removing Camera Shake from a Single Photograph." [detail]
- Please note that the project presentations will take place on Friday, May 5th, from 9:00 to 11:00 am, in the Wang Room.
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- Lecture #2: Systems, Jan. 20, 2006
- Lecture #3: Tomography, Jan. 25, 2006
- Lecture #4: Reconstruction of 2-D Signals from Partial Fourier Information, Jan. 27, 2006
- Lecture #5: Detour into Numerical Analysis, Feb. 1, 2006
- Lecture #6: Reconfiguration of M-D Signals From Zero Crossings, Feb. 3, 2006
- Lecture #7: Filters (LSI System), Feb. 8, 2006
- Lecture #8: How to Choose B.C. for 2D D.L.C.C.D.E., Feb. 10, 2006
- Lecture #9: Computing DFT, Feb. 15, 2006
- Lecture #10: Filter Specs, Feb. 17, 2006
- Lecture #11: Example of 2D FIR, Feb. 22, 2006
- Lecture #12: 2D Filter Design Using Transformation, Feb. 24, 2006
- Lecture #13: Human Visual System, Mar. 1, 2006
- Lecture #14: Image Enhancement, Mar. 3, 2006
- Lecture #15: Mathematical Aspects/Derivation of Histogram Equalization, Mar. 8, 2006
- Lecture #16: Local Enhancements Using Local Histogram Analysis, Mar. 10, 2006
- Lecture #17: Image Enhancement, Mar. 15, 2006
- Lecture #18: Image Restoration, Mar. 17, 2006
- Lecture #19: Image Restoration continued, Mar. 22, 2006
- Lecture #20: Restoration, Mar. 24, 2006
- Spring Break, Mar. 27-31, 2006
- Lecture #21: Adaptive Weiner Filtering, Apr. 5, 2006
- Lecture #22: Image Restoration, Apr. 7, 2006
- Lecture #23: Image Restoration cont., Apr. 12, 2006
- Lecture #24: Image Coding, Apr. 14, 2006
- Lecture #25: Image Compression, Apr. 19, 2006
- Lecture #26: DPCM, Apr. 21, 2006
- Lecture #27: Discrete Cosine Transform and it's Use in Image Compression, Apr. 26, 2006
- Lecture #28: Lossy Image Compression, Apr. 28, 2006
- Lecture #29: Multiresolution, May 3, 2006
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Homework 1 -
Problems 1.28, 1.30, 1.33, 1.34, 1.35 (due in class Fri 2/3)
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Homework 2 - Lab: Phase-only image reconstruction
(due in class Fri 2/10) [Phase.dat,
Magnitude.dat,
Test.bmp]
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Homework 3 - Lab: Tomography
(due in class Fri 2/17) [Pyramid.bmp]
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Homework 4 - From J. S. Lim's book: Problems 2.18, 2.19, 2.20 and 2.24
(due in class Fri 2/24)
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Homework 5 - From J. S. Lim's book:
Problems 4.12, 4.14, 4.15, 4.16, and 4.17 (due in class Fri 3/03)
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Homework 6 - Lab: 2D - FIR Filter Design
(due in class Fri 3/10) [Turtle.bmp]
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Homework 7 - Lab: Image Enhancement
(due in class Fri 3/24) [Berkeley.jpg]
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Homework 8 - Lab: Image Restoration
(due in class Fri 4/21) [NoisyImg.bmp,
NoisyBlur.bmp]
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