exam2soln

# exam2soln - ECE/OPTI 533 Digital Image Processing Mid-Term...

This preview shows pages 1–2. Sign up to view the full content.

1/5 ECE/OPTI 533 Digital Image Processing Spring Semester, 2003 Mid-Term Exam 2 Solution May 6, 2003 Exam: Open-Notes, books, no partial credit Because there is no partial credit, it is especially important that you clearly defne, speciFy or describe everything that you do. 1. (10%,10%,10%) Given the following noisy image segment g(m,n): m = 1234 4 123 114 188 173 n = 3 120 126 193 199 2 135 127 197 201 1 182 179 189 193 The global image noise variance is 100, and the noise is additive to and independent of the noise- less image f(m,n). Calculate the adaptive Wiener Flter output at pixel (2,2) using a 3x3 pixel neighborhood and uniform box Flters. The adaptive W± output at pixel (m,n) is (notes17,p387): Using a 3x3 uniform box Flter, LP(2,2) = 160.89 HP(2,2) = 127 - 160.89 = -33.89 = 1075.86 (956.3 if variance calculated with N instead of N-1) therefore, = 975.86 and = 0.907 and = 130.15 (130.55) Note that, because this 3x3 region overlaps a high contrast feature and therefore has relatively high SNR, the change due to the W± is small. 2. (5%, 5%) Given the following 1-D image: f ˆ mn , () LP m n , σ f 2 , σ f 2 , σ v 2 + --------------------------------- HP m n , + = σ f 2 22 , σ v 2 + σ f 2 , σ f 2

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

## This note was uploaded on 02/04/2012 for the course COMPUTER 101 taught by Professor Ahmed during the Spring '11 term at alamo.edu.

### Page1 / 5

exam2soln - ECE/OPTI 533 Digital Image Processing Mid-Term...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online