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Summer
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 automated
inspection of industrial parts. Images acquired by
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-
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 compressed (lossless) format (it uses the LZW
compression) and compresses at a ratio of
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
B, can be defined in terms of the hit-or-miss
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 the channel, the encoded
representation is fed to the decoder, where a reconstructed output
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