EECE253_14_UncorrelatedNoise

EECE253_14_UncorrelatedNoise - EECE\CS 253 Image Processing...

Info iconThis preview shows pages 1–10. Sign up to view the full content.

View Full Document Right Arrow Icon
EECE\CS 253 Image Processing Richard Alan Peters II Department of Electrical Engineering and Computer Science Fall Semester 2007 Lecture Notes Lecture Notes: Reduction of Uncorrelated Noise This work is licensed under the Creative Commons Attribution-Noncommercial 2.5 License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc/2.5/ or send a letter to Creative Commons, 543 Howard Street, 5th Floor, San Francisco, California, 94105, USA.
Background image of page 1

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

View Full DocumentRight Arrow Icon
Sunday, 27 April, 2008 2 Sunday, 27 April, 2008 2 1999-2007 by Richard Alan Peters II Noise in Images All images created through optical projection onto a sensor array are noisy. Uncorrelated noise Quantum noise in CCD arrays Silver halide grains in film photography Neuronal noise in a retina Quantization noise in digital photographs Correlated noise Due to electrical interference Due to source / sensor interference Halftone distortion / moiré patterns
Background image of page 2
Sunday, 27 April, 2008 3 Sunday, 27 April, 2008 3 1999-2007 by Richard Alan Peters II Image with Additive Noise () . , N , I , J c r c r c r + = undegraded image undegraded image noisy image noisy image additive noise additive noise undegraded image undegraded image noisy image noisy image additive noise additive noise . , , , u v u v u v N I J + = spatial domain frequency domain
Background image of page 3

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

View Full DocumentRight Arrow Icon
Sunday, 27 April, 2008 4 Sunday, 27 April, 2008 4 1999-2007 by Richard Alan Peters II Uncorrelated Noise Intensity distributions – normalized histograms Intensity distributions – normalized histograms Each pixel’s value has probability of occurrence given by the associated distribution.
Background image of page 4
Sunday, 27 April, 2008 5 Sunday, 27 April, 2008 5 1999-2007 by Richard Alan Peters II Uncorrelated Noise Each pixel’s value has probability of occurrence given by the associated distribution. … black pixels occur 75% of the time and … black pixels occur 75% of the time and white pixels occur 25% of the time. white pixels occur 25% of the time. All values occur with equal probability. All values occur with equal probability. This is sparse noise: Only 12.5% of the pixels contain noise. Of those 12.5% … This is sparse noise: Only 12.5% of the pixels contain noise. Of those 12.5% … The most likely value is 128 with an average difference of 25 from 128 (std. dev.). The most likely value is 128 with an average difference of 25 from 128 (std. dev.). Intensity distributions – normalized histograms Intensity distributions – normalized histograms
Background image of page 5

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

View Full DocumentRight Arrow Icon
Sunday, 27 April, 2008 6 Sunday, 27 April, 2008 6 1999-2007 by Richard Alan Peters II Uncorrelated Color Noise: Gaussian
Background image of page 6
Sunday, 27 April, 2008 7 Sunday, 27 April, 2008 7 1999-2007 by Richard Alan Peters II Uncorrelated Color Noise: Uniform
Background image of page 7

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

View Full DocumentRight Arrow Icon
Sunday, 27 April, 2008 8 Sunday, 27 April, 2008 8 1999-2007 by Richard Alan Peters II Gaussian IID Noise Field μ = 128 σ = 32 μ = 128 σ = 32 IID: Independent, Identically Distributed IID no spatial correlation IID no spatial correlation
Background image of page 8
Sunday, 27 April, 2008 9 Sunday, 27 April, 2008 9 1999-2007 by Richard Alan Peters II Gaussian IID Noise Field … is this number divided by the number of pixels in the image.
Background image of page 9

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

View Full DocumentRight Arrow Icon
Image of page 10
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 12/06/2011 for the course EECE 253 taught by Professor Alanpeters during the Summer '07 term at Vanderbilt.

Page1 / 67

EECE253_14_UncorrelatedNoise - EECE\CS 253 Image Processing...

This preview shows document pages 1 - 10. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online