Can you please give me the DOEACC, B Level Course, Digital Image Processing previous years question papers?

As you want to get the IBPS Bank Probationary Officers question papers of previous years so here is the information of the same for you:

1.
a) Explain the role of knowledge base in image processing?
b) What do you mean by the term representation in the context of image processing?
c) What do you mean by linear operator to the images?
d) Give the formula for Butterworth lowpass filters and explain different variables in it.
e) How can we perform the conversion of image in RGB color model into CMY model?
f) Give three texture properties, which can be derived from first-order statistics.
g) What is LZW encoding? Give its applications.
(74)


2.
a) What do you mean by compression of an image? Compare lossless and lossy
compressions with examples.
b) What is Run Length Encoding (RLE)? Explain with an example.
c) Discuss Huffman coding Algorithm.
d) What is Arithmetic coding? Compare Arithmetic coding with Huffman coding.
e) Give basic encoding method for transform based image compression.
(3+3+4+4+4)

3.
a) What is algebraic representation of a digital color image?
b) Give RGB color model. Discuss the conversion of RGB color space onto YUV, YIQ, and
YCrCb Space and compare them.
c) What is syntactic texture description? Give an algorithm for shape chain grammar texture
generation.
d) How can a texture classification problem be transformed into a graph recognition
problem?
(2+6+6+4)

4.
a) Discuss minimum mean square error filtering.
b) Compare minimum mean square error filtering with inverse filtering.
c) What is gray-level interpolation? Give one scheme for gray-level interpolation.
(8+4+6)

5.
a) What do you mean by ‘opening’ and ‘closing’? Explain each of them with examples.
b) What is non-uniform sampling and non-uniform quantization? Give specific applications.
c) Give one specific scheme for content-based image retrieval.


1.
a) How is run length coding used in image compression?
b) Explain the operation of 3X3 Laplacian mask.
c) Give a procedure to convert an image in RGB color model into gray scale image with 256 levels.
d) What is the basic difference between image processing and audio signal processing?
e) What do you mean by resolution of an image? Relate resolution with processing time and
communication cost.
f) How can be the lines oriented around 45° detected?
g) Compare Huffman coding and arithmetic coding.
(74)

2.
a) Explain the concept of Karhunen-Loeve (K-L) transform.
b) Why is the Karhunen-Loeve (K-L) transform useful? Give examples.
(10+8)

3.
a) Why do we require image compression?
b) What are the different classes of compression techniques?
c) What does a typical image coder look like? Explain with block diagram.
d) Discuss JPEG as DCT-based image compression standard.
(2+3+5+8)

4.
a) Give reasons for storing gray scale images using 256 levels.
b) Explain CIE chromaticity coordinates.
c) What do you mean by motion detection? Discuss static background motion detection.
(4+4+10)
5.
a) Why do we perform image processing in frequency domain although images are generally
represented in spatial domain?
b) Give a general procedure to implement filtering in frequency domain.
c) Discuss the usefulness of FFT in digital image processing.
d) Discuss different strategies to reduce the execution time for computation of matrix convolutions.
(4+6+4+4)

6.
a) What is the result of applying thresholding to an image? How do we choose thresholding
level(s)? Give a specific application of thresholding.
b) What do you mean by registration of an image? Give its applications.
c) Discuss Quadtree Decomposition of an image.
(6+6+6)

7.
a) What is binary morphology?
b) Using appropriate examples, discuss dilation, erosion, opening and closing operations.
c) How can morphological operations be used in boundary extraction.
(3+8+7)

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