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) — extracted question text · 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. Check the original PDF for equations, diagrams and complete wording. Extracted: 2026-08-23.

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