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MTSC 887 - Image Processing
创建日期：2024-08-15 16:05:34
标签： MTSC 887
MTSC 887 - Image Processing
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MTSC 887 - Image Processing

Digital Image Fundamentals

Problem 1 (20 points). Illumination-reflectance modeling

Assume that a flat area with center at (x0, y0) is illuminated by a light

source with intensity distribution

i(x, y) = K · e?[(x?x0)2+(y?y0)2].

Let the reflectance of the area be constant and equal to 4 and let K = 127.

If the digital image is acquired with k bits of intensity resolution, and the

human eye can discent an abrupt change of eight shades of intensity between

adjacent pixels, what value of k will cause visible false contouring?

Problem 2 (20 points). Spatial relationships between pixels

For the below sub-image draw the shortest 4–, 8– and m– path between

pixels m and l and compute the corresponding lengths. Explain if there

does not exit a particular requested path. Solve for i) V = {0, 1} and ii)

Problem 3 (20 points). Image transformations

Show that the forward and inverse Fourier kernels r(x, y, u, v) = e?j2pi(ux/M+vy/N)

and s(x, y, u, v) = 1

MN

ej2pi(ux/M+vy/N) are separable and symmetric.

Programming Assignment 1 (30 points). Image interpolation

Download and unzip test images from blackboard page of the course.

Write a program that will

1. read a grayscale image

2. downsample the image by a factor of i) 2 and ii) 8

3. oversample back up to original resolution

4. compute the squared difference between the image of the previous step

and the original image

5. display all images and differences

6. compute the average squared difference between the two images.

Repeat the above process for i) nearest neighbor and ii) bilinear interpo-

lation. Show your results on 3 of the grayscale test images.

Write your program in function format, i.e. with input and output ar-

guments. One of the input arguments should be the input image filename

so that you can apply your program to any grayscale image. You can use

Matlab’s built-in functions for resampling.

Programming Assignment 2 (30 points). Image quantization

Download and unzip test images from blackboard page of the course.

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关键词一 关键词二 关键词三 关键词四 关键词五 和法规和的发更好的风格和 ECON 615 FINC 612 CSC148 COMP 639 ACCT 203 ACCT 211 PSYC 101 MTH2009 COMP52315 PSYCO 432 statistics MATH4063 11 xxx 1 MA1MSP MAST30028 MATH3888 CS341 EEE30002 ES2F5 MCD4160 CC0933 ECON 1101 MCHM3001 CHEM3118 COMMGMT 2511 COMP41280 STAT 631 24T1 IRE379 SENG365 ECON433 FIT3139 MATH4602 LING5621M FINS5516 ECON3208 MN2177 L2 SM EEET1415 Finance DS4023 COMP3004 7CCSMRTS K1S5B6 Stat230 CSCI4211 CSI2132 ECON30130 MAS6100 ENVS222 COM2107 INFO1112 STAT 4004 FIT2100 comp2022 COMP4691 Physics 307 Econ 659 probability CSCI316 fir29 CSCI203 COMP3160 COMP6714 INFO1113 Physics 7B Physics Photonics S203031 STAT2005 COMP90015 CSCI 2110 CSCC46 Information CSC477 COMP4650 Statistical COMP 346 COMP1017 ELEC340 MATH1007 Programming function STAT 244 CS 134 Java cse13s Math 108A FW20 ECON3389 CSE 130 Science 331 COMP9020 engineering COSC 445 CSE 5523 GAME2012 visualization MATH 235 Math 370 CSC343 COGS 108 EE524 COMP10200 STAT 416 3FK4 MSCI 311 ECON6113 ACC40700 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