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VIII Semester B.Tech.-including part time Degree (Reg./Sup./Imp.)
Examination
April 2012
(2007 Admn.)
PT2K6/2K6EC EC 805(B)-DIGITAL IMAGE PROCESSING
Time:3 Hours Max.Marks:100
I.Answer all the questions:
a) Write notes on visual perception. [Marks 5]
b)Write notes on brightness, contrast, hue and saturation. [Marks 5]
c)Write notes on the degradation model. [Marks 5]
d)Explain the difference between image enhancement and restoration. [Marks 5]
e)Write notes on region splitting and merging. [Marks 5]
f)List out the application of neural network in image processing . [Marks 5]
g)Explain Huffman coding and its limitations. [Marks 5]
h)Write notes on vector quantization with suitable example. [Marks 5]
II. a) Compute the basis of KL transform for the input data
X1=(4,4,5) X2=(3,2,5) X3=(5,7,6) X4=(6,7,7) . [Marks 15]
OR
b)Explain in detail the wavelet transforms in two dimensions with suitable examples.
[Marks 15]
III. a)Explain in detail the Weiner filter with suitable examples and also list out the drawbacks of it. [Marks 15]
OR
b)Explain in detail with suitable examples, the special filtering. [Marks 15]
IV. a)Explain in detail about the neural network based image processing. [Marks 15]
OR
b)Explain in detail the pattern matching for object recognition in detail with suitable examples. [Marks 15]
V. a)Explain in detail the block transform coding in image compression. [Marks 15]
OR
b) Explain in detail the JPEG and MPEG standards in detail. [Marks 15]
VIII Semester B.Tech.-including part time Degree (Reg./Sup./Imp.)
Examination
April 2012
(2007 Admn.)
PT2K6/2K6EC EC 805(B)-DIGITAL IMAGE PROCESSING
Time:3 Hours Max.Marks:100
I.Answer all the questions:
a) Write notes on visual perception. [Marks 5]
b)Write notes on brightness, contrast, hue and saturation. [Marks 5]
c)Write notes on the degradation model. [Marks 5]
d)Explain the difference between image enhancement and restoration. [Marks 5]
e)Write notes on region splitting and merging. [Marks 5]
f)List out the application of neural network in image processing . [Marks 5]
g)Explain Huffman coding and its limitations. [Marks 5]
h)Write notes on vector quantization with suitable example. [Marks 5]
II. a) Compute the basis of KL transform for the input data
X1=(4,4,5) X2=(3,2,5) X3=(5,7,6) X4=(6,7,7) . [Marks 15]
OR
b)Explain in detail the wavelet transforms in two dimensions with suitable examples.
[Marks 15]
III. a)Explain in detail the Weiner filter with suitable examples and also list out the drawbacks of it. [Marks 15]
OR
b)Explain in detail with suitable examples, the special filtering. [Marks 15]
IV. a)Explain in detail about the neural network based image processing. [Marks 15]
OR
b)Explain in detail the pattern matching for object recognition in detail with suitable examples. [Marks 15]
V. a)Explain in detail the block transform coding in image compression. [Marks 15]
OR
b) Explain in detail the JPEG and MPEG standards in detail. [Marks 15]
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