Digital Image Processing EIE 7th Sem Syllabus for VTU BE 2017 Scheme

Digital Image Processing detail syllabus for Electronics & Instrumentation Engineering (Eie), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17EI72), and for exam duration, Teaching Hr/week, Practical Hr/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.

For all other eie 7th sem syllabus for be 2017 scheme vtu you can visit EIE 7th Sem syllabus for BE 2017 Scheme VTU Subjects. The detail syllabus for digital image processing is as follows.

Module 1

Introduction: Background, Examples of fields that use DIP, Fundamental steps in Digital Image Processing (DIP), Components of DIP system, Image sensing and acquisition, A simple image formation model, Image sampling and quantization. Basic relationship between pixels, Color image processing fundamentals and models. Text: Chapter 1, 2.3, 2.4, .2.5

Module 2

For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.

Module 3

Image Enhancement In Frequency Domain: Background, 2D-Discrete Fourier Transform and its inverse, Basic properties of the 2D-Discrete Fourier Transform, Basics of filtering in the frequency domain. Image smoothing using frequency domain filters: Ideal low pass filters, Butterworth low-pass filters, Gaussian low-pass filters; Image sharpening using frequency domain filters, Ideal high-pass filters, Butterworth high-pass filters, Gaussian high-pass filters, Homomorphic filtering. Text: 4.1, 4.2, 4.5.5, 4.6, 4.7,4.8, 4.9

Module 4

Image Restoration: Model of the Image degradation/restoration process, Noise models, Restoration using spatial filtering: Mean filters, Order statistic filters – Median filter, Min and Max filters, Midpoint filter. Image Compression: Fundamentals, Image compression models, Basic compression methods – Huffman coding, Arithmetic coding, LZW coding, Run-length coding. Text: 5.1, 5.2, 5.3.1, 5.3.2, 8.1, 8.2.1, 8.2.3, 8.2.4, 8.2.5

Module 5

For complete syllabus and results, class timetable and more pls download iStudy. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.

Course Outcomes:

After studying this course, students will be able to:

1. Describe the fundamentals of Image Processing and Image transform techniques.
2. Apply image enhancement technique in frequency and spatial domain
3. Analyze and implement restoration and color models.
4. Develop and analyze image compression techniques.
5. Apply segmentation algorithms for general image.
6. Develop image processing algorithms for real-world problems.

Question paper pattern:

• The question paper will have TEN questions
• Each full question carry 16 marks.
• There will be TWO full questions (with maximum of THREE sub questions) from each module.
• Each full question will have sub questions covering all the topics under a module.
• The students will have to answer FIVE full questions, selecting ONE full question from each module.

Text Books:

1. Digital Image Processing – Rafael. C. Gonzalez and Richard. E. Woods, Third Edition, Pearson Education, 2008.

Reference Books:

1. Fundamentals of Digital Image Processing – Anil K. Jain, 5th Indian Print, PHI, 2002.
2. Digital Image Processing and Computer Vision – Milan Sonka, India Edition, Cengage Learning.

For detail syllabus of all other subjects of BE Eie, 2017 scheme do visit Eie 7th Sem syllabus for 2017 scheme.

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