Digital Image Processing detailed syllabus scheme for B.Tech Electronics & Telecommunication Engineering (ET), 2019-20 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.
For all other DBATU Syllabus for Electronics & Telecommunication Engineering 6th Sem 2019-20, do visit ET 6th Sem 2019-20 Onwards Scheme. The detailed syllabus scheme for digital image processing is as follows.
Digital Image Processing Syllabus for Electronics & Telecommunication Engineering (ET) 3rd Year 6th Sem 2019-20 DBATU
Course Objectives:
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Course Outcomes:
After completion of this course students will be able to
- Review the fundamental concepts of digital image processing system.
- Analyze images in the frequency domain using various transforms.
- Categories various compression techniques.
- Interpret image segmentation and representation techniques.
UNIT – 1
Concept of Visual Information Introduction, Digital Image definitions, Common Values, Characteristics of Image Operations, Types of Operations, Types of neighborhoods, Video parameters, Tools, 2D convolution, Properties of 2D convolution, 2D Fourier Transforms, Properties of 2D Fourier Transforms, Importance of phase and magnitude, Circularly Symmetric Signals, Examples of 2D Signals and transforms, Statistical Description of Images
UNIT – 2
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UNIT – 3
Image Sampling Two dimensional Sampling theory, Extensions of sampling theory, Non rectangular Grid sampling, Hexagonal sampling, Optimal sampling, Image Quantization: The optimum Mean Square Lloyd-Max quantiser, Optimum mean square uniform quantiser for non-uniform densities, Analytic Models for practical quantiers, Visual quantization, Vector Quantization
UNIT – 4
Image Transforms Two dimensional orthogonal and unitary transforms, Separable unitary transforms, Basis images, Dimensionality of Image Transforms, Discrete linear orthogonal, DFT, WHT, KLT, DCT and SVD, Quantisation of Transform coefficients, Transform Coding of Color images
UNIT – 5
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UNIT – 6
Image Restoration Image Restoration, Degradation Estimation, Reduction of Additive Noise, Reduction of Image Blurring, Simultaneous reduction of noise and blurring, Reduction of Signal dependent noise, Temporal filtering.
Text Books:
- Rafael C. Gonzalez and Woods, “Digital Image Processing”, Addison Wesley, 1998
- A. K. Jain, “Digital Image Processing”, PHI, New Delhi, 1997
- Pratt W.K., “Digital Image Processing”, 2nd Edition, John Wiley, New York, 2001
- Edward R. Dougherty, “Random Processes for Image and Signal Processing”, PHI-2001
For detail syllabus of all other subjects of Electronics & Telecommunication Engineering (ET) 6th Sem 2019-20 regulation, visit ET 6th Sem Subjects syllabus for 2019-20 regulation.