Digital Image Processing (KEC071) - AKTU Question Paper 2024-25
B.Tech · Semester 7 · Free PDF Download
This is the official AKTU Digital Image Processing Previous Year Question Paper for B.Tech Semester 7, academic session 2024-25. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.
Course:B.Tech
Semester:Semester 7
Session:2024-25
University:AKTU / UPTU
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Questions Asked in 2024-25
Digital Image Processing (KEC071) — extracted question text · 100 marks · 3 Hours
Section AAttempt all questions in brief. 2 x 10 = 20
- aDifferentiate between a graysca le image and a binary image
- bDefine quantization and its effect on image quality
- cDefine unsharp masking and its application
- dWhat is the purpose of b andpass filtering
- eMention any two properties of t he Fourier Transform
- fMention one advantage and one limitation of the DST
- gDefine the term "redundancy"
- hWhat is run-length encoding (RLE) and where is it used? 4 K1 i. Define the principle of edge det ection in image segmentation. 5 K1 j. What is a "seed point" in reg ion-growing techniques?
Section BAttempt any three of the following: 10 x 3 = 20
- aEnlist various fundamental steps in Digital Image Processing with neat block diagram
- bDescribe the concept of image smoothing using spatial domain techniques. Include examples of low-pass filters
- cWhat is Haar Transform? Write the procedure to determine the Haar transformation matrix
- dExplain the MPEG video compr ession standard and its applicat ion in multimedia systems
- eWhat is the Hough Transform used for in image processing? What types of shapes can be detected using the Hough Transform?
Section CAttempt any one part of the following: 10 x 1 = 10
- aExplain the structure and usag e of common image file formats, such as JPEG, PNG, BMP, and TIFF. Highli ght the advantages and limitations of each
- bDescribe the digital halftone process and its significance i n image representation for printing and display
- aExplain histogram-based techniques for image enhancement. Il lustrate with examples how histogram equalization enhances image quality
- bDefine image restoration and explain its role. Discuss the different types of image degradations
- aWhat is Hadamard transform? Explain in detail and Write its properties
- bExplain the Karhunen-Loève Transform and its significance in image compression. Discuss its advantages
- aDifferentiate between lossles s and lossy compression techniq ues with suitable examples
- bExplain the working of Huffman coding as a lossless compress ion algorithm with an example
- aWhat is the region-growing technique in image segmentation? How is the seed point selected in the region-growing algorithm?
- bDefine thresholding. What is t h e d i f f e r e n c e b e t w e e n g l o b a l and adaptive thresholding?
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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