SGN-3057 Digital Image Processing II – 2012, 6 cr


Lectures, 32 h., given during 3rd period

First lecture, January 9, 2010, Monday, 12:15 – 14:00, in TB219 and January 11, Wednesday, 14:15 - 16:00, in TB 222

The lectures are given by Karen Egiazarian (karen <dot> egiazarian <at> tut <dot> fi).

Time and place: Mondays at 12:15 – 14:00 in TB 219 and Wednesdays 14:15 – 16:00 in TB 222

 


Classroom exercises, 14h., given during 3rd period

Group A: Tuesdays at 12:15 – 13:45, TB 215

Group B: Tuesdays at 16:15 – 17:45, TB 215

 

First exercises are on January 17, 2012, Tuesday, 10:15 – 11:45, TB 215 (group A) and 16:15 – 17:45, TB 215 (group B)

 

For more details and weekly assignments, check the classroom exercises webpage. 


Laboratory works, given during 4th period

Will be updated soon


About the course

Goals

·      In-dept view of selected topics of image processing

·      Practical tasks in image processing laboratory

Prerequisites and position

·      Basic or introductory signal processing

·      Digital Image Processing I or Digitaalinen kuvankäsittely I

·      Pre-required for the course Digital Image Processing III

Grade formation

No exam. 

Final mark is computed based on four units as follows:

·      Classroom exercises, 40% of the mark

·      First laboratory work, 10% of the mark

·      Second laboratory work, 20% of the mark

·      Third laboratory work, 30% of the mark

All four units must be passed otherwise final mark is not given


Course schedule

Lecture 1, 09.01.2012 and 11.01.2012

Wavelets and Multiresolution Processing, 4h.

·      Background: image pyramids, subband coding, Haar transform

·      Multiresolution: series expansion, scaling functions, wavelets

·      Fast wavelet transform, Mallat’s algorithm, lifting scheme

·      Curvelets

presentation1 (pdf)    

For extra reading - presentation1b (pdf) 

 

Lecture 2, 16.01.2012 and 18.01.2012

Image Compression, 4h.

·      Fundamentals: coding redundancy, psycho-visual redundancy, fidelity criteria

·      Source and channel encoding

·      Information theory elements: information measures, coding theorems

·      Loss-lees compression: variable-length coding, bit-plane coding, predictive coding

·      Lossy compression:  predictive coding, transform coding

presentation2 (pdf) 

 

Lecture 3, 23.01.2012 and 25.01.2012 

Image Compression (cont.), 4h.

·      Lossy compression: wavelet coding

·      Compression of the wavelet coefficients: EZT, SPIHT, EBCOT algorithms

·      Standards: JBIG, JPEG, JPEG2000, MPEG

Object Recognition, 1h.

·      Patterns and pattern classes

·      Decision-theoretic recognition methods: matching, optimum statistical classifications, neural networks

·      Structural methods: matching shape numbers, strings and trees

presentation3a (pdf); presentation3b  (pdf)

Lecture 4, 30.01.2012 and 01.02.2012

Image Segmentation, 4h.

·      Detection of discontinuities

·      Edge linking, boundary detection, thresholding

·      Region-based segmentation

·      Motion-based segmentation

presentation4 (pdf) ;

 

Lecture 5, 06.01.2012 and 08.02.2012

Local Approximations in Image Processing, 4h.

·      Local polynomial approximation

·      Anisotropic nonparametric image restoration

·      Image denoising

·      Image deblurring

Material presentation5a (first 40 slides) ;  presentation5b

Further reading :

http://www.cs.tut.fi/~lasip/

http://www.cs.tut.fi/~lasip/papers/LPA-ICI_Book-TICSP_Series_no_19-2003.pdf

http://www.cs.tut.fi/~foi/papers/Foi-Anisotropic_non_parametric_image_processing-2005.pdf

 

Lecture 6, 13.02.2012 and 15.02.2012

Non-local Imaging

Given by Prof. Vladimir Katkovnik, 4h.  

presentation 6 (pdf) (slides 1–16 and 52–227)

 

 

Lecture 7, 20.02.2012 and 22.02.2012

Image Sampling and Interpolation

presentation 7 (pdf)

 

Lecture 8, 27.02.2012 and 29.02.2012

Introduction to laboratory works

 

 

 


Literature

Textbook

[1] R. Gonzalez and R. Woods, "Digital Image Processing, 2nd ed.", Prentice-Hall, 2002.

www.imageprocessingplace.com/

Additional books

[2] John Russ, “The Image Processing Handbook, Fourth Edition”, CRC Press, 2002

[3] Y. Shi, H. Sun, “Image and Video Compression for Multimedia Engineering: Fundamentals, Algorithms, and Standards”, CRC Press, 1999

[4] K. Rao and P. Yip, “The Transform and Data Compression Handbook”, CRC Press, 2001

[5] V.Katkovnik, K.Egiazarian, and J.Astola, “Local Approximations in Signal and Image Processing”, SPIE Press, vol. PM157, 2006, 576 pages


Last modified: Friday, 11 February 2011, 14:31 EET