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Explain the different applications of digital image processing in medical imaging, remote sensing, and automated inspection. Discuss the benefits and challenges in each field.
What is the difference between linear and order-statistics filters?
How does histogram specification differ from histogram equalization?
Define Intensity transformation. What is Image Negative? What is Log transformation in DIP? What is Power-Law (Gamma) transformation in DIP?
Discuss the design and application of frequency domain filters such as low-pass and high-pass filters. How do they affect image enhancement and noise reduction?
What is color complement, and how is it used in image processing?
Briefly explain how sharpening techniques can be applied to color images.
Discuss their applications and advantages in digital image processing.
What is global thresholding? How does it work in separating objects from the background?
Explain in detail the process of edge linking and boundary detection in digital image processing. How do techniques like Hough Transform help in this process?
What is the uncertainty principle in the context of the Fourier Transform?
Briefly describe the key features of the continuous wavelet transform (CWT) and its applications.
Describe the concept of wavelet bases and multi-resolution analysis (MRA). How does MRA help in analyzing images at different levels of detail?
Describe the main idea behind transform coding in lossy image compression.
Discuss the JPEG and JPEG-2000 compression standards in detail. Compare their techniques, advantages, and areas of application.
Explain the concept of forward and backward motion prediction in video compression.
Compare the MPEG and H.26X video coding standards in detail. Discuss their key features, compression techniques, and areas of application.
How can each be detected?
Discuss the challenges involved in video segmentation, especially in handling complex scenes, varying lighting conditions, and multiple moving objects.
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Official Gujarat Technological University (GTU) examination paper for Digital Image and Video Processing (Summer 2026, B.E. · EC Engineering, Sem 7). Features complete 70-mark regular & remedial examination pattern, official marking distribution across all 5 questions, and direct 1-click official PDF download.
Transcribed for student exam preparation from Gujarat Technological University official examination archives. Questions, syllabus guidelines, and curriculum marking schemes remain the intellectual property of Gujarat Technological University.
3171109 Digital Image and Video Processing
Official GTU PDF · Summer 2026
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