B.TechSemester 52025-26Image ProcessingBCS057
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Image Processing (BCS057) - AKTU Question Paper 2025-26

B.Tech · Semester 5 · Free PDF Download

This is the official AKTU Image Processing Previous Year Question Paper for B.Tech Semester 5, academic session 2025-26. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 5
Session:2025-26
University:AKTU / UPTU

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Questions Asked in 2025-26

Image Processing (BCS057) — complete question paper · 70 marks · 3 Hours

Section AAttempt all questions in brief. 02 x 7 = 14
  • a
    Define image sampling and quantization
  • b
    What is histogram equalization?
  • c
    Define morphological operations with examples
  • d
    What is noise in digital images?
  • e
    What is run length encoding?
  • f
    What is image compression?
  • g
    Define Fourier Transform
Section BAttempt any three of the following: 07 x 3 = 21
  • a
    What do you mean by image processing? Explain the steps of image processing with the help of block diagram
  • b
    Explain histogram specification technique with suitable example
  • c
    Explain Gaussian low pass filter
  • d
    Explain region splitting and merging with suitable example
  • e
    Discuss the need for data compression. Also explain run length encoding algorithm in detail
Section CAttempt any one part of the following: 07 x 1 = 07
  • a
    Differentiate Correlation and Convolution with 1 -D function and a filter example
  • b
    Perform histogram equalization for an image with gray levels {0,1,2,3}
    having frequencies {4,6,8,2}
  • a
    Explain homomorphic filtering. Compute the morphological opening of a binary image
  • b
    Explain region growing segmentation method. Consider the following grayscale image: A seed pixel is selected at position (2,2) with intensity value 96. Apply the Region Growing Segmentation method using: • Threshold = ±5 • 4-connectivity Identify all pixels that will be included in the grown region and draw the final segmented region mask (1 = region, 0 = non-region). • Threshold = ±5
  • a
    Construct Huffman codes for symbols with probabilities {0.4, 0.3, 0.2, 0.1} and calculate the average code length for the Huffman tree
  • b
    What is Image Restoration? Draw and explain the basic block diagram of the restoration process
  • a
    Explain edge detection and edge linking. Also differentiate between edge detection and edge linking
  • b
    Explain mean and order statistic filters with suitable example
  • a
    Explain erosion and dilation with suitable example
  • b
    Differentiate between JPEG and MPEG standard in detail

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.

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