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AKTU Image Processing Important Questions

The questions AKTU asks again and again in Image Processing, found by comparing every question in 6 previous year papers from 2016-17 to 2025-26 (subject codes BCS057, EEC068, KCS062, NEN043).

How this list is made: we compared all 136 questions in these papers and grouped the ones that ask about the same thing. Each item shows how many papers it appeared in, which years, and other ways it was worded. Topics that come back often are a strong hint, not a guarantee, so study your full syllabus too.

Most repeated long questions

From Sections B and C (7 or 10 marks, depending on the year). Unit numbers come from Section C, where each question covers one unit.

  1. Discuss the need for data compression. Also explain run length encoding algorithm in detail.
    Asked in 4 papers2025-26 BCS057 · 2024-25 BCS057 · 2022-23 KCS062 · 2021-22 KCS062
    Also asked as:
    • How does Run-Length Encoding (RLE) work in data compression?
    • Explain the need of data compression in image processing. Discuss Run length encoding technique by using an example.
  2. Differentiate Correlation and Convolution with 1 - D function and a filter example.
    Asked in 2 papersUnit 1 · 2025-26 BCS057 · 2022-23 KCS062
  3. Differentiate between JPEG and MPEG standard in detail.
    Asked in 2 papersUnit 5 · 2025-26 BCS057 · 2022-23 KCS062
  4. Draw the block diagram of a digital image restoration system and explain it. Classify the image restoration system and explain Wener filter.
    Asked in 2 papers2016-17 NEN043 · 2016-17 EEC068
  5. Draw the block diagram of signature verification and explain its working.
    Asked in 2 papers2016-17 NEN043 · 2016-17 EEC068
  6. Explain edge detection and edge linking. Also differentiate between edge
    Asked in 2 papersUnit 4 · 2025-26 BCS057 · 2022-23 KCS062
    Also asked as:
    • detection and edge linking. Explain mean and order statistic filters with suitable example.
  7. Explain histogram specification technique with suitable example.
    Asked in 2 papers2025-26 BCS057 · 2016-17 NEN043
    Also asked as:
    • What is histogram? For what purpose is it used? Explain histogram specification with example. Discuss image compression techniques.
  8. What do you mean by image processing? Explain the steps of image processing with the help of block diagram.
    Asked in 2 papers2025-26 BCS057 · 2022-23 KCS062
  9. What is Image Restoration? Draw and explain the basic block diagram of the restoration process.
    Asked in 2 papersUnit 3 · 2025-26 BCS057 · 2022-23 KCS062
  10. What is meant by image quantizer ? What are the advantages of image quantizer?
    Asked in 2 papers2016-17 NEN043 · 2016-17 EEC068
    Also asked as:
    • Classify different types of image quantizer .What do you mean by image quantizer ? What are the advantages of image quantizer ?. Discuss uniform optimal quantizer.

Most repeated short questions (2 marks)

From Section A. Learn a crisp definition plus one example or line of explanation for each.

  1. What is the Digital Image Processing?
    Asked in 3 papers2024-25 BCS057 · 2022-23 KCS062 · 2016-17 NEN043
    Also asked as:
    • Explain the 3D Image processing
    • Define the image restoration in digital image processing?
  2. Define Fourier Transform. 1,
    Asked in 2 papers2025-26 BCS057 · 2021-22 KCS062
    Also asked as:
    • Identify the need of Fourier transform.
  3. Explain sampling and quantization.
    Asked in 2 papers2025-26 BCS057 · 2016-17 NEN043
    Also asked as:
    • Define image sampling and quantization.
  4. What do you mean by mach bands?
    Asked in 2 papers2016-17 NEN043 · 2016-17 EEC068

Unit-wise questions from recent papers

Section C questions from the latest papers (2025-26 BCS057, 2024-25 BCS057, 2022-23 KCS062), sorted by unit. Use these to practise one unit at a time.

Unit 1
  • Differentiate Correlation and Convolution with 1 - D function and a filter example. (2025-26, BCS057)
  • Perform histogram equalization for an image with gray levels {0,1,2,3} having frequencies {4,6,8,2}. {0, 1, 2, 3} {4, 6, 8, 2} (2025-26, BCS057)
  • Describe the steps involved in digital image processing and their importance in enhancing image quality. (2024-25, BCS057)
  • What is the Discrete Fourier Transform (DFT), and how is it used to transform an image into the frequency domain for processing? (2024-25, BCS057)
  • Explain low level, mid level and high level image processing. Also explain sampling and quantization process. (2022-23, KCS062)
  • Differentiate Correlation and Convolution with 1 - D function and a filter example. (2022-23, KCS062)
Unit 2
  • Explain homomorphic filtering. Compute the morphological opening of a binary image. (2025-26, BCS057)
  • 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 regi on mask (1 = region, 0 = non - region). Region Growing Segmentation Region Growing Segmentation , : (2025-26, BCS057)
  • Discuss the differences between smoothing and sharpening spatial filters. Provide examples of when each is used. (2024-25, BCS057)
  • Define homomorphic filtering, and how does it improve the quality of an image, particularly in terms of lighting and contrast? (2024-25, BCS057)
  • Explain the process of filtering in frequency domain. Discuss low pass and high pass frequency domain filters. (2022-23, KCS062)
  • Write notes on: i. Bit plane slici ng ii. Homomorphic Filter (2022-23, KCS062)
Unit 3
  • 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. {0.4, 0.3, 0.2, 0.1} (2025-26, BCS057)
  • What is Image Restoration? Draw and explain the basic block diagram of the restoration process. (2025-26, BCS057)
  • Describe Wiener filtering and how it is used to minimize noise in image restoration while preserving details. (2024-25, BCS057)
  • What are the properties of image degradation that affect the restoration process, and how are these addressed? (2024-25, BCS057)
  • What is Image Restoration? Draw and explain the basic block diagram of the restoration process. (2022-23, KCS062)
  • Explain: 1. Median filter, and 2. Midpoint filter. (2022-23, KCS062)
Unit 4
  • Explain edge detection and edge linking. Also differentiate between edge (2025-26, BCS057)
  • detection and edge linking. Explain mean and order statistic filters with suitable example. (2025-26, BCS057)
  • What is morphological processing in image segmentation, and how are operations like erosion and dilation used to refine image features? (2024-25, BCS057)
  • What is dam construction in watershed segmentation, and how does it help in controlling the flow of watersheds? (2024-25, BCS057)
  • Explain edge detection and edge linking. Also differentiate between edge detection and edge linking. (2022-23, KCS062)
  • Explain Image Segmentation and related fundamental conditions. (2022-23, KCS062)
Unit 5
  • Explain erosion and dilation with suitable example. (2025-26, BCS057)
  • Differentiate between JPEG and MPEG standard in detail. (2025-26, BCS057)
  • Discuss the JPEG standard for image compression, including its compression techniques and the types of images it is best suited for. (2024-25, BCS057)
  • Explain the process of boundary description and how it helps in identifying object boundaries in image recognition. (2024-25, BCS057)
  • Differentiate between JPEG and MPEG standard in detail. (2022-23, KCS062)
  • Differentiate between image compression and recognition briefly. (2022-23, KCS062)

Papers used for this list

How to use these questions

  1. Start with the questions asked in the most papers, and make short notes for each.
  2. Write 2–3 long answers by hand with a timer (about 12–15 minutes each), then compare them with your textbook.
  3. Revise all the 2-mark questions the night before the exam.
  4. Finish with one full paper from the list above, timed.

Full plan with AI prompts: How to prepare for AKTU exams using previous year papers. After results, check your marks with the AKTU CGPA calculator.

Frequently asked questions

Are these AKTU Image Processing questions guaranteed to come in the exam?
No. They are the questions that repeated most in past papers, which makes them a strong hint, but AKTU can ask anything from the syllabus. Use this list to prioritise, not to skip units.

How was this important questions list made?
We compared all 136 questions from 6 AKTU Image Processing papers (2016-17 to 2025-26) and grouped questions that ask about the same topic, then counted how many papers each appeared in.

Where can I download AKTU Image Processing previous year papers?
Every paper used here is on LearnAIFast with all questions as text and a link to the original PDF. See the list of papers above.

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