DSIP VIVA QUESTIONS SS

CH-1 Introduction to Discrete Time Signals and Systems.

1) State and explain different types of signals

2) Explain Discrete Time Systems

3) Explain Linear Convolution

4) State and explain types of Linear Convolution

5) Explain Circular Convolution

6) State and explain types of Circular Convolution

CH-2 Discrete Fourier Transform

1) Explain Discrete fourier transform

2) Explain Frequency domain Sampling

3) State properties of 2D DFT

4) State properties of 3D DFT

CH-3 Image Transforms

1) Explain Hadamard Transform

2) Explain Walsh Transform

3) Explain Discrete Cosine Transform

4) Give Applications of DCT

5) What is Wavelet

6) Explain Wavelet Transform in brief

Ch-4 Image Enhancement

1) Explain Image Enhancement

2) Explain color Image Enhancemnt

3) What is spatial domain

4) Explain Filtering

5) Compare analog and Digital filters

6) Which filter is best for salt pepper noise removal

7) Explain Low pass filter

Explain median filter

9) Explain High pass filter

10) What is smoothing

11) What is sharpening

CH-5 Image Segmentation and Representation

1) Explain Image Segmentation

2) Explain region based splitting

3) Explain techniques of region based splitting

4) Explain Thresholding

5) Explain Object detection using correlation principle

6) Explain Canny Edge Detection

7) Give limitations of Laplacian operator for detection of edges compared with the gradient operators.

CH-6 Image Data Compression

1) What is Image Compression

2) What is Lossy Image Compression

3) What is Lossless Image Compression

4) Compare Lossy and Lossless Image Compression Techniques

5) Explain JPEG & MPEG techniques

CH-7 Morphological Image Processing

1) What is morphology?

2) Name and explain the basic operations in morphology.

3) What is Dilation give its equation

4) What is Erosion give its equation

5) What is Opening give its equation

6) What is Closing give its equation

7) What is Skeletonization

Explain Hit or Miss Transformation

9) Explain pruning

10) Explain thinning

11) Explain Image Morphology

CH-8 Applications of Image Processing

1) State various Application of Image Processing

2) State various ways of Biometric Authentication

3) Explain Vehicle Number Plate Detection and Recognition

4) What is Content based Image Retrieval

5) Give applications of Content based Image Retrieval

6) What is Text Compression

7) What is Digital Watermarking

butterfly diagram

-frerquency domain formulae

-formulae of ztransform and fourier transform

-what is correlation

-what redundancies do compressions remove?

-Haar transform

-hadamard transform

-point processing techniques

-what is lossless and lossy compression

-what is fourier transform, two dimensional fourier transform

- draw histogram

-how to recognise ramp edge by first/second derivative

-what are steps for filtering in frequency domain?

-Draw butterfly diagram for Hadamad Matrix.

-What are different types of filter?

-What is uniquely coded code?