AKTU · B.Tech · Important questions
AKTU Digital Image Processing Important Questions
The questions AKTU asks again and again in Digital Image Processing, found by comparing every question in 7 previous year papers from 2016-17 to 2024-25 (subject codes EIT081, KEC071, NCS801, NEC032, REC072).
How this list is made: we compared all 165 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.
- Explain Edge Linking using Hough Transform.
- Define edge detection and edge linking. Also write the difference between them.
- Define edge detection segmentation technique and edge linking. Also write the difference between them.
- Explain Sampling and Quantization. Discuss their various types.
- Explain sampling and quantization. What is the difference between uniform and nonuniform sampling and quantization?
- What are the various fundamental steps in digital image processing? Explain
- Enlist various fundamental steps in Digital Image Processing with neat block diagram.
- What is image restoration? Draw and explain the basic block diagram of the restoration process. Give two areas where restoration process can be applied?
- Draw the block diagram of Restoration process & Explain each block.
- . What do you mean by digital image representation.
- Briefly explain the phenomenon of digital image representation with suitable diagram.
- . What is Histogram Equalization ?
- Explain histogram-based techniques for image enhancement. Illustrate with examples how histogram equalization enhances image quality.
- Describe Inter-frame coding and predictive compression.
- Discuss image restoration techniques. Explain in detail the image restoration in presence of noise only.
- Discuss the types of Image degradations in detail.
- Define image restoration and explain its role. Discuss the different types of image degradations.
- Explain Image Compression model in detail.
- Explain Image Compression model in detail with diagram.
- How can you control over segmentation problem? Explain it.
- How can you control over segmentation problem? Explain shape detection in detail.
- What are the different ways to estimate the degradation function? Explain.
- What do you mean by Gaussian Noise and why averaging filter is used to eliminate it?
- What do you mean by Gaussian noise and why is an averaging filter used to eliminate it?
- What do you understand by Band-Pass Filter?
- Explain periodic noise reduction using band pass filter.
- What do you understand by Hit-Miss Transform and why they are used explain in brief?
- What is Edge & Line detection?
- . Write short note on following i- Edge detection Algorithm ii- Line detection Algorithm
- What is Haar Transform? Write the procedure to determine the Haar transformation matrix.
- Explain Haar transform mean? Elaborate the process for calculating the haar transformation matrix.
- Why Hadamard Transform is most suitable for digital image processing? Discuss Hadamard Transform with the help mathematical expression.
Most repeated short questions (2 marks)
From Section A. Learn a crisp definition plus one example or line of explanation for each.
- Define image segmentation.
- What is segmentation?
- What is image segmentation?
- What do you mean by dilation and erosion?
- What do you mean by Erosion?
- Define Haar transform.
- What is Haar transform?
- Explain affine transform.
- Explain the concept of thresholding.
- List edge detection operators.
- What is contrast stretching?
- Write down the type of image degradation?
Unit-wise questions from recent papers
Section C questions from the latest papers (2024-25 KEC071, 2022-23 KEC071, 2020-21 REC072), sorted by unit. Use these to practise one unit at a time.
Unit 1
- Explain the structure and usage of common image file formats, such as JPEG, PNG, BMP, and TIFF. Highlight the advantages and limitations of each. (2024-25, KEC071)
- Describe the digital halftone process and its significance in image representation for printing and display. (2024-25, KEC071)
- Explain Sampling and Quantization. Discuss their various types. (2022-23, KEC071)
- Describe the properties of Fourier Transform. (2022-23, KEC071)
- Briefly explain the phenomenon of digital image representation with suitable diagram. (2020-21, REC072)
- What are the various fundamental steps in digital image processing? Explain (2020-21, REC072)
Unit 2
- Explain histogram-based techniques for image enhancement. Illustrate with examples how histogram equalization enhances image quality. (2024-25, KEC071)
- Define image restoration and explain its role. Discuss the different types of image degradations. (2024-25, KEC071)
- Discuss the process of image smoothing using ideal low pass filters and Butterworth low passfilters (2022-23, KEC071)
- What benefits can adaptive filters offer? Describe the adaptive median filter. (2022-23, KEC071)
- Why Hadamard Transform is most suitable for digital image processing? Discuss Hadamard Transform with the help mathematical expression. (2020-21, REC072)
- What are the needs of Image Enhancement Techniques? discuss the Image? sharpening in frequency domain. (2020-21, REC072)
Unit 3
- What is Hadamard transform? Explain in detail and Write its properties. (2024-25, KEC071)
- Explain the Karhunen-Loève Transform and its significance in image compression. Discuss its advantages. (2024-25, KEC071)
- Explain image compression system with the help offunctional block diagram. (2022-23, KEC071)
- Describe the steps involved in changing colors from HSI to RGB. (2022-23, KEC071)
- Discuss image restoration techniques. Explain in detail the image restoration in presence of noise only. (2020-21, REC072)
- Explain periodic noise reduction using band pass filter. (2020-21, REC072)
Unit 4
- Differentiate between lossless and lossy compression techniques with suitable examples. (2024-25, KEC071)
- Explain the working of Huffman coding as a lossless compression algorithm with an example. (2024-25, KEC071)
- What do you mean by Gaussian Noise and why averaging filter is used to eliminate it? (2022-23, KEC071)
- Explain Haar transform mean? Elaborate the process for calculating the haar transformation matrix. (2022-23, KEC071)
- Describe Inter-frame coding and predictive compression. (2020-21, REC072)
- Explain the process of JPEG compression with block diagram. (2020-21, REC072)
Unit 5
- What is the region-growing technique in image segmentation? How is the seed point selected in the region-growing algorithm? (2024-25, KEC071)
- Define thresholding. What is the difference between global and adaptive thresholding? (2024-25, KEC071)
- Explain Edge Linking using Hough Transform. (2022-23, KEC071)
- Discuss the types of Image degradations in detail. (2022-23, KEC071)
- Define edge detection segmentation technique and edge linking. Also write the difference between them. (2020-21, REC072)
- How can you control over segmentation problem? Explain shape detection in detail. (2020-21, REC072)
Papers used for this list
- AKTU Digital Image Processing (KEC071) question paper 2024-25
- AKTU Digital Image Processing (KEC071) question paper 2022-23
- AKTU Digital Image Processing (REC072) question paper 2020-21
- AKTU Digital Image Processing (NCS801) question paper 2017-18
- AKTU Digital Image Processing (NEC032) question paper 2017-18
- AKTU Digital Image Processing (EIT081) question paper 2016-17
- AKTU Digital Image Processing (NCS801) question paper 2016-17
How to use these questions
- Start with the questions asked in the most papers, and make short notes for each.
- Write 2–3 long answers by hand with a timer (about 12–15 minutes each), then compare them with your textbook.
- Revise all the 2-mark questions the night before the exam.
- 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 Digital 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 165 questions from 7 AKTU Digital Image Processing papers (2016-17 to 2024-25) and grouped questions that ask about the same topic, then counted how many papers each appeared in.
Where can I download AKTU Digital 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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