Digital Image Processing detail syllabus for Electronics & Communication Engineering (ECE), 2021-22 scheme is taken from AKTUs official website and presented for the AKTU B.Tech students. For the course code (KEC071), exam duration, teaching hr/week, practical hr/week, total marks, internal marks, theory marks, duration, credits, and other details do visit complete semester subjects post given below.
For the ECE 7th Sem Syllabus for AKTU B.Tech 2021-22 Scheme you can visit ECE 7th Sem 2021-22 Scheme. For the Departmental Elective-4 scheme of ECE 7th Sem 2021-22 regulation do refer to Departmental Elective-4 ECE 7th Sem scheme. The detail syllabus for digital image processing is as follows.
Unit I
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Unit II
Image Enhancement: Need for image enhancement, Image enhancement operations, Image enhancement in spatial domain, histogram based techniques, Spatial Filtering concepts, Image smoothing and sharpening spatial and frequency domain filters, homomorphic filtering. Image Restoration: Introduction to degradation, types of Image degradations, image degradation models, noise modeling, estimation of degradation functions, Image restoration in presence of noise only, periodic noise and band pass and band reject filtering, difference between enhancement & restoration, Image restoration techniques.
Unit III
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Unit IV
Image Compression: Image compression model, type of redundancy, compression algorithms and its types, lossless compression algorithms, lossy compression algorithms, image and video compression standards.
Unit V
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It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Text Books:
- Rafael C. Gonzalez Richard E woods Steven L. Eddins, ‘Digital Image Processing”, Mc Graw Hill, 3rd Edition, 2008.
- Anil K Jain, ‘Fundamentals of Digital Image Processing’, Prentice-Hall of India Pvt. Ltd, 1989.
Reference Books:
- Jayaraman, ‘Digital Image Processing’, Tata Mc Graw hill Education, India, 2009.
- S. Sridhar, ‘Digital Image Processing’, OXFORD University Press, Second Edition, 2011.
Course Outcomes:
At the end of this course students will demonstrate the ability to:
- Describe the concept and need for image processing.
- Implement the various techniques for image enhancement and restoration both in spatial and frequency domains.
- Interpret the various types of image transforms and their properties.
- Distinguish between lossless and lossy image compression algorithms and examine their performances in spatial and frequency domains.
- Examine the various image segmentation techniques.
For the syllabus of all the subjects of B.Tech ECE 7th Sem, 2021-22 scheme do visit ECE 7th Sem syllabus subjects.
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.