Question Paper Code : 90599
B.E./B.Tech. DEGREE EXAMINATIONS, APRIL/MAY 2025.
Fifth/Sixth Semester
Electronics and Communication Engineering
CEC 366 — IMAGE PROCESSING
(Common to : Electronics and Telecommunication Engineering)
(Regulations 2021)
Answer ALL questions.
PART A — (10 × 2 = 20 marks)
- 1.
What is mean by bits per pixel?
- 2.
When are fine sampling and coarse sampling used?
- 3.
Define histogram. How is it generated for an image?
- 4.
Differentiate between Smoothing and Sharpening Spatial Filters.
- 5.
Sketch the block diagram of a model of the image degradation.
- 6.
Mention the two draw backs of inverse filtering.
- 7.
List the applications of segmentation.
- 8.
Define the term "region growing."
- 9.
What is the significance of lossy and lossless predictive coding?
- 10.
Enlist the steps of Run length Coding and its example.
PART B — (5 × 13 = 65 marks)
- 11.(a)
Explain about the image sampling and quantization process.
- Or
- (b)
Discuss about the Two-dimensional mathematical preliminaries in detail.
- 12.(a)
- (i)Elaborate on smoothing spatial filters.(8)
- (ii)Explain the concept of homomorphic filtering in detail.(5)
- Or
- (b)
Compare and contrast Butterworth low and high pass filter, Gaussian low and high pass filter.
- 13.(a)
Describe briefly a model of the image restoration process.
- Or
- (b)
Explain in detail about the order-statistics filters and adaptive filters.
- 14.(a)
Describe fundamental operation of morphological image processing.
- Or
- (b)
- (i)Discuss watershed segmentation algorithm in detail.
- (ii)Elaborate on dam construction.
- 15.(a)
Explain the method of Huffman coding with an example.
- Or
- (b)
Describe the various boundary descriptors in detail with a neat diagram.
PART C — (1 × 15 = 15 marks)
- 16.(a)
Evaluate the effectiveness of region splitting and merging techniques for segmenting complex images.
- Or
- (b)
Design a novel approach for color image enhancement by integrating histogram equalization with adaptive filtering.