QUESTION TWO a) Give a detailed analysis of Gaussian noise indicating the steps used to implement it in an editing soft
Posted: Mon May 09, 2022 6:30 am
QUESTION TWO
a) Give a detailed analysis of Gaussian noise indicating
the steps used to implement it in an editing software. Use
photoshop, Matlab, wavepad and any other software you are ok with.
(4 marks)
b) Briefly describe the functions of the components that
make up a CT scanner. (4 marks)
c) Starting with steps and flow charts develop MATLAB
codes for the following implementations in regard to image
processing; invert operation and high pass filtering, hence
obtain the result if a 2*2 median filter is passed through the
following image. (4 marks)
20 40 30 130, 70 100 150 140, 90 120 10 180, 20 80 40
100
d) Determine the CMY equivalent of the 65535th RGB
colour. (4 marks)
f) Consider the following
…..GTACCCGACACTTCCCCTTC…..
Assume that the frequencies of symbols with the rest of
the sequence and the same as in this frequent.
Estimate the probabilities of each symbol (A, G, C) and
hence derive the Huffman Code for each. Estimate the average
number of bits per symbol required to encode the sequence
using Huffman code under these circumstance. (6
marks)
a) Give a detailed analysis of Gaussian noise indicating
the steps used to implement it in an editing software. Use
photoshop, Matlab, wavepad and any other software you are ok with.
(4 marks)
b) Briefly describe the functions of the components that
make up a CT scanner. (4 marks)
c) Starting with steps and flow charts develop MATLAB
codes for the following implementations in regard to image
processing; invert operation and high pass filtering, hence
obtain the result if a 2*2 median filter is passed through the
following image. (4 marks)
20 40 30 130, 70 100 150 140, 90 120 10 180, 20 80 40
100
d) Determine the CMY equivalent of the 65535th RGB
colour. (4 marks)
f) Consider the following
…..GTACCCGACACTTCCCCTTC…..
Assume that the frequencies of symbols with the rest of
the sequence and the same as in this frequent.
Estimate the probabilities of each symbol (A, G, C) and
hence derive the Huffman Code for each. Estimate the average
number of bits per symbol required to encode the sequence
using Huffman code under these circumstance. (6
marks)