SRM University 2007 B.Tech Electronics and Communications Engineering Bank Digital Image Processing - Question Paper

16. What is a compandor?

PART-B
1. Explain 2-D sampling theory in detail.
2. Explain in detail the practical limitations in sampling and reconstruction.
3. Explain the optimum mean square or Lloyd-max quantizer in detail.
4. Explain in detail about visual quantization.
5. Explain the process of reconstruction of an image from its samples.
6. Explain compandor design.

UNIT –III
Part – A
1) Properties of Fourier Transform?
2) Write the formula for 2D Fourier transform and Inverse Fourier transform?
3) Write the formula for the 2-D convolution?
4) Properties of convolution?
5) Define orthogonal matrix and unitary matrix?
6) Consider the matrices

Check that A1 is orthogonal & unitary, A2 is not unitary, A3 is unitary with orthogonal rows.

7) If A and B are M1 xM2 and N1 xN2 matrices respectively, obtain their Kronecker product.
8) Define Kronecker Product?
9) If . obtain their kronecker product.
10) Define the mean and co-variance of random signal?
11) For a provided orthogonal matrix A and image U
,
obtain the transformed image and the inverse transformation.
12) Write the formula for the 2-D orthogonal and unitary transforms?
13) Give a few properties of 2-D DFT?
14) Write the formula for 2-D IDFT?
15) Mention the properties of Discrete cosine transform.
16) Define DCT?
17) Define Sequency?
18) Properties of Hadamard Transform?
19) For the 2x2 transform A and the image U

compute the transformed image V and the basis images.
20) What is Walsh transform?
21) Give a few properties of 2-dimensional DFT?
22) What are the properties of walsh transform?
23) What is Haar Transform?
24) What is Hadamard transform?
25) Write the properties of Haar transform?
26) What is slant transform?
27) What are the properties of slant transform?
28) What is KL transform?
29) What are the properties of KL transform?
30) Compare KL, Hadamard, Haar and slant transform?

PART – B
1) Find the Fourier spectrum , phase angle and power spectrum of 2D Fourier transform.
2) Write the DFT for the 2-variable? obtain the DFT for the subsequent sequence {2,3,4,4} and obtain its fourier spectrum?
3) Explain the subsequent DFT properties:
a) Separability b) Translation
c) Rotation d) Distributivity & scaling
4) Explain the subsequent (a) Convolution (b) Correlation
5) Develop an FFT algorithm for a 2-D transform? How many additions & multiplication are needed to calculate 2D FFT of an N x N image?

Earning:   Approval pending.