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7/29/2019 Image Processing Assignment 2 2012
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Image Processing EC753 Assignment 2
Date : 17/11/2012
7th semester Due Date : 04/12/2012
Unit 5 : answer any two
Histogram Processing, Enhancement Using Arithmetic/Logic Operations,
1) What is histogram processing? Briefly discuss the nature of histograms of a dark, bright, low-
contrast and high-contrast Images?2) What is histogram equalization. Derive a transformation function to carry out histogram
equalization. Assume gray-levels are random variables in the range [0,1].
3) How do we implement histogram equalization for discrete- gray level values in the range[ 0,255]?4) Develop a method for histogram matching assuming input and output gray-levels are random
variables in the range [0,1] ?
5) How do we implement histogram matching for a image with 255 discrete gray-levels in a
computer given a specified histogram PZ(Z)?
6) Why local enhancement is suitable in the processing certain Images. what are the techniques
involved?
7) How do we use Histogram statistics in local Image enhancement?
8) What is meant by Image subtraction? Discuss its various applications?
9) Discuss Image averaging and its applications?
Unit 3 : answer any two
Image Transforms: Two-dimensional orthogonal & unitary transforms, Properties
of unitary transforms, Two dimensional discrete Fourier transform. TEXT 2
06 Hrs
1) What are Image Transforms what are their uses? How are they classified?
2) What are unitary Transforms. Discuss their properties ?
3) For a given orthogonal matrix A and Image U. check whether A is unitary. Find the basis Images
and transformed image?
A = U =
4) Derive the Discrete fourier Transform( DFT) for disrete sequence x(n) starting from the fourier
transform of continuous time signals?
5) Give an expression for 2D-DFT and its inverse for both rectangular and polar co-ordinates.
Mention its important properties?
6) State and prove the separable and conjugate symmetry properties of DFT?
7) State and prove the spatial shift and correlation properties of DFT?
7/29/2019 Image Processing Assignment 2 2012
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8) State and prove the periodicity and convolution properties of DFT?
9) For a given Image generate the auto-covariance matrix?( hint use the columns of the image as
vectors x1, x2, x3 )
U =
Unit 8 : answer any two
Color Fundamentals. Color Models, Pseudo color Image Processing., Processing
basics of full color image processing TEXT 1 06 Hrs
1) Explain the fundamentals of color. And color sensing characteristics of the
human eye?
2) Explain color models. Discuss the RGB color model?
3) Explain the CMY color model?
4) Describe the HSI color model?
5) Give a procedure for conversion from RGB color model to HSI color model, and from HSI to
RGB.
6) Discuss Pseudo-color Image processing? Explain the graylevel to color
transformation technique?
7) Discuss the intensity slicing method used in pseudo-color Image processing?
8) Discuss the basics of full color image processing