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?

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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