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AMERICAN UNIVERSITY OF BEIRUT FACULTY OF ENGINEERING AND ARCHITECTURE
 

Summary: AMERICAN UNIVERSITY OF BEIRUT
FACULTY OF ENGINEERING AND ARCHITECTURE
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
EECE691C Digital Signal Processing Laboratory Week 11
Generating and Filtering Image Noise lab
The principal sources of noise in digital images arise during the image acquisition
and/or transmission. The performance of imaging sensors is affected by a variety of factors,
such as environmental conditions during image acquisition, and by the quality of the sensing
elements themselves. For instance, in acquiring images with a camera, light levels and sensor
temperature are major factors affecting the amount of noise in the resulting image. Images are
corrupted during transmission principally due to interference in the channel used for
transmission. For example, an image transmitted using a wireless network might be corrupted
as a result of lightning or other atmospheric disturbance [1].
When simulating image noise, we assume that the noise is independent of spatial
coordinates, and that is uncorrelated with respect to the image itself, that is there is no
correlation between pixel values and the values of noise components. The model of the image
degradation/ restoration process is shown in figure 1.
R(x,y)
n(x,y)
G(x,y)F(x,y)

  

Source: Al-Alaoui, Mohamad Adnan - Faculty of Engineering and Architecture, American University of Beirut, Lebanon

 

Collections: Engineering