Digital Image Processing detailed syllabus scheme for Electronics & Electrical Engineering (EL), 2017 regulation has been taken from the University of Mumbai official website and presented for the Bachelor of Engineering students. For Course Code, Course Title, Test 1, Test 2, Avg, End Sem Exam, Team Work, Practical, Oral, Total, and other information, do visit full semester subjects post given below.
For all other Mumbai University Electronics & Electrical Engineering 8th Sem Syllabus 2017 Pattern, do visit EL 8th Sem 2017 Pattern Scheme. The detailed syllabus scheme for digital image processing is as follows.
Digital Image Processing Syllabus for Electronics & Electrical Engineering BE 8th Sem 2017 Pattern Mumbai University
Course Objectives:
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Course Outcomes:
- Understand the concept of Digital Image processing.
- Explain image enhancement and Segmentation technique.
- Understand Digital Image compression and decompression technique
- Perform Binary Image Processing Operations
1. Digital Image Processing Fundamentals
Introduction: Background, Digital Image Representation, Fundamental Steps in Image Processing, Elements of a Digital Image Processing System Digital Image Fundamentals: Elements of Visual Perception, A Simple Image Model, Sampling and Quantization, Some Basic Relationships between Pixels, Imagining Geometry. Image File Formats: BMP, TIFF and JPEG. Colour Models (RGB, HSI, YUV)
2. Image Enhancement
Spatial Domain Methods, Frequency Domain Methods, Some Simple Intensity Transformations, Histogram Processing, Image Subtraction, Image Averaging, Background Smoothing Filters, Sharpening Filters, Lowpass Filtering, Highpass Filtering, Generation of Spatial Masks from Frequency Domain Specifications. Homomorphic Filtering. 08
3. Image Segmentation and Representation
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4. Binary Image Processing
Binary Morphological Operators, Hit-or-Miss Transformation, Boundary Extraction, Region Filling, Thinning and Thickening, Connected Component Labeling, Iterative Algorithm and Classical Algorithm 06
5. Image Transform
Introduction to the Fourier Transform, The Discrete Fourier Transform, Some Properties of the Two-Dimensional Fourier Transform Fast Fourier Transform(FFT) Discrete Hadamard Transform(DHT), Fast Hadamard Transform(FHT), Discrete Cosine Transform(DCT), Discrete Wavelet Transform(DWT) 12
6. Image Compression:
Fundamentals – Coding Redundancy, Interpixel Redundancy, Psychovisual Redundancy, Fidelity Criteria. Image Compression Models – The Source Encoder and Decoder, Lossless Compression Techniques : Run Length Coding, Arithmetic Coding, Huffman Coding, Differential PCM Lossy Compression Techniques: Improved Gray Scale Quantization, Vector Quantization, JPEG, MPEG-1 12
Assessment:
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 pdf platform to make students’s lives easier..
End Semester Examination:
Some guidelines for setting the question papers are as, six questions to be set each of 20 marks, out of these any four questions to be attempted by students.
Recommended Books:
- Rafel C. Gonzalez and Richard E. Woods, Digital Image Processing, Pearson Education Asia, Third Edition, 2009,
- S. Jayaraman, E.Esakkirajan and T.Veerkumar, Digital Image Processing TataMcGraw Hill Education Private Ltd, 2009,
- Anil K. Jain, Fundamentals and Digital Image Processing, Prentice Hall of India Private Ltd, Third Edition
For detail syllabus of all other subjects of Electronics & Electrical Engineering (EL) 8th Sem 2017 regulation, visit EL 8th Sem Subjects syllabus for 2017 regulation.