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Winter
2015
BC5902
Qus:1
State the applications of Image Processing and list the examples.
Ans:
Applications
of Image Processing and list the examples:
Digital image
processing has a broad spectrum of applications, such as remote sensing via
satellites and other spacecrafts, image transmission and storage for business
applications, medical processing, radar, sonar, robotics and
Qus:2
Explain the basic concepts of Sampling and Quantization.
Ans:
Basic
concepts of Sampling and Quantization:
The basic idea behind
sampling and quantization .Figure (a) shows a continuous image, f (x, y), that
we want to convert to digital form. An image may be continuous with respect to
the x – andy-coordinates, and also in amplitude. To
Qus:
3 Explain all the types of Digital Images. Also differentiate between them.
Ans:
The
types of Digital Images:
The following
are the different types of image formats.
GIF:
The Graphics
Interchange Format was developed in 1987 at the request of CompuServe, who
needed a platform independent image format that was suitable for transfer
across slow connections. It is a
Qus:4
State any four properties of Fast Fourier Transform (FFT)
Ans:
Properties
of Fast Fourier Transform (FFT):
Translation:
Qus:5
Describe Thinning and Thickening.
Ans:
Thinning
and Thickening:
Thinning:
The thinning of
a set A by a structuring element B denoted A 
B, can be defined in terms of the hit-or-miss
transform:
B, can be defined in terms of the hit-or-miss
transform:
Qus:6
Briefly explain about one Image Compression model, the Source Encoder and
Decoder.
Ans:
One
Image Compression model:
A compression
system consisting of two distinct structural blocks: an encoder and a decoder. An
input image f(x, y) is fed into the decoder, which creates a set of symbols
from the input data. After transmission over
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