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Nasser Abbasi Course EECS 203A (digital Image processing) webpage

Fall 2004. University of california, Irvine

Last updated Oct 18, 2004 

March 12, 2008 (cleaned up)

 

 

Introduction: the instructor is Professor Healey as with course 152.

 

links

http://skyvision.com/pages/information_center/hdtv_lingo.html

 

“Aspect Ratio - The aspect ratio refers to the shape of the video image. Today's television has a 4:3 aspect ratio, which is almost square in appearance. Digital television will have either a 4:3 or 16:9 aspect ratio. A 16:9 aspect ratio is widescreen, and appears rectangular; this looks more like a movie screen, filling more of the viewer's field of vision for a more lifelike viewing experience.

 

IEEE 1394 - The Institute of Electrical and Electronics Engineers (IEEE) standard of high-speed, high-capacity digital connections of audio and video components, computers, and peripherals; also known as Firewire”

 

Example using Mathematica for image processing. (downloaded from the net) HTML

 

Table showing ranking of mean filters

PDF   HTML

 

Note on histogram equalization  PDF

 

My lecture notes  PDF

 

Old exams to practice on PDF

 

My first exam (did bad, but so everyone else J)  PDF

 

Question I wrote on log scaling  HTML

 

My cheat sheet  PDF

 

TEST IMAGES see

  1. HTML  (This page I downloaded from the net, and forgot to write which page it is. It is not something I’ve done).
  2. lena_orig1.jpg  
  3. monkey_orig1.jpg

HWs Table

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HW link

HW description

1

 See here page for the computer problem description and my solution

 

  Problem 2.10 and problem 2.19 of text book:   HTML, PDF

 

Write program to subsample an image. Then use nearest neighbor interpolation on images.

 

There are 2 algorithms to use. The nearest neighbor method where the value of each new pixel added to the new image is obtained from the value of the pixel in the original image by finding the closest pixel in the original image to the new pixel in the new image. The other algorithm is the bilinear mapping algorithm.

2

HW2 web page

Histogram equalization, power law transform. Mathematica and Maple implementation

3

HW3 web page

Program how to do various image filtering. Original files are all in RAS format

4

HW4 web page

1.       Apply different filters to images

2.       What is the source of the nearly periodic bright points in the horizontal axis of the spectrum in fig 4.11(b)

3.       Apply DFT and IDFT on images

4.       Apply laplacian to image, scale, subtract from original image and display sharpened image.

5.       Generate an image of |F(u,v)| with the DC in the center for the cat and the triangle image.

Code in Matlab

5

HW5 web page

Solve number of image problem from text book. See web page for the problems and the solutions.

6

HW6

1.       Obtain equations for the bandpass filters corresponding to the bandreject filters in eqs 5.4-1 through 5.4-3

2.       Consider a linear position-invariant image degradation system with impulse response MATHSuppose that the input to the system is an image consisting of a line of infinitesimal width located at $x=a$and modeled by MATHwhere $\delta $is the impulse. Assuming no noise, find the output image MATH

3.       A certain Xray imaging geometry produces a blurring degradation that can be modeled as the convolution of the sensed image with the spatial, circularly symmetric function MATHwhere $r^{2}=x^{2}+y^{2}$. Show that the degradation in the frequency domain is given by MATH

 

 

 

4.        

 

4.     Some of the above HW’s questions  PDF