ISDLO7031: Image Processing Syllabus for IS 7th Sem 2019 Pattern Mumbai University (Department Level Optional Course-3)

Image Processing detailed syllabus scheme for Instrumentation Engineering (IS), 2019 regulation has been taken from the MU 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 7th Sem Scheme of Instrumentation Engineering (IS), 2019 Pattern, do visit IS 7th Sem Scheme, 2019 Pattern. For the Department Level Optional Course-3 scheme of 7th Sem 2019 regulation, refer to IS 7th Sem Department Level Optional Course-3 Scheme 2019 Pattern. The detail syllabus for image processing is as follows.

Image Processing Syllabus for Instrumentation Engineering BE 7th Sem 2019 Pattern Mumbai University

Course Objectives:

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Course Outcomes:

Students will be able to –

1. Describe general terminology of Image processing.
2. Examine Images and their analysis by various transformation techniques.
3. Apply basic Image enhancement operations on Images.
4. Evaluate mathematical tools such as Image morphology and Image segmentation to extract various Image components.
5. Discuss Image compression methods
6. Discuss Image degradation and restoration model.

Prerequisites:

Knowledge of Fundamentals of Engineering Mathematics, Basic Operation with Matrices, Signals and Systems and Digital Signal Processing.

Module 1

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Module 2

Image Transformation: -Orthogonal and Orthonormal Function, 2D Discrete Fourier transform and its properties, Fast Fourier transform of Image, Discrete Cosine and Sine transform (2D), Walsh-Hadamard transform, Haar transform, Slant transform, Karhunen-Loeve transform, Introduction to Wavelet transform and its application. 07 CO2

Module 3

Image Enhancement: -Image enhancement in spatial domain, Basic gray level transformation like Image Negatives, Log transformations, Power Law transformations, Contrast stretching, Gray level and Bit plane slicing, Histogram processing, Enhancement using Arithmetic/Logic operation, Smoothing spatial filters, Sharpening spatial filters, Image enhancement in frequency domain, Smoothing frequency domain filters, Sharpening frequency domain filters, Homomorphic filtering. 10 CO3

Module 4

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Module 5

Image Compression: -Need of Image compression, Data redundancy, Image compression model, Difference between Lossy and Lossless compression, Image compression technique(Huffman, Arithmetic, Run length, LZW coding),Predictive coding(DPCM),JPEG and MPEG compression standard. 08 CO5

Module 6

Image Restoration: -Image degradation/Restoration model, Noise models, Probability density function of important noises (Gaussian, Rayleigh, Gamma, Exponential, Uniform, Salt and Pepper), Restoration in presence of noise by spatial filtering (Mean, Median, Midpoint filter), Periodic noise reduction in frequency domain filtering (Band reject, Band pass, Notch filter), Point spread function, Inverse filtering, Weiner filtering. 05 CO6

Internal 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 pdfs platform to make students’s lives easier.
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Theory Examination:

1. Question paper will comprise of 6 questions, each carrying 20 Marks.
2. Total 4 questions need to be solved.
3. Question No. 1 will be compulsory and based on entire syllabus wherein sub questions of 4 to 5 marks will be asked.
4. Remaining questions will be mixed in nature.
5. In question paper weightage of each module will be proportional to number of respective lecture hours as mentioned in the syllabus.

Text Books:

1. Richard E. Woods, Rafael C. Gonzalez, Digital Image Processing, Pearson,3rd edition, 2012.
2. Jain A.K, Fundamentals of Digital Image Processing, Pearson,1st edition, 2015.
3. B. Chanda, D. Dutta Majumder, Digital Image Processing and Analysis,PHI, 2nd edition, 2011.

Reference Books:

1. M. Sonka, Hlavac, Image Processing, Analysis, and Machine Vision Cengage,4th edition, 2014.
2. Tamal Bose, Digital Signal and Image Processing, Wiley, 1st edition,2003.
3. William K. Pratt, Digital Image Processing, Wiley, 4th edition, 2007.
4. Jayaraman , Veerakumar, Esakkirajan, Digital Image Processing, McGraw Hill, 1st edition, 2009.

For detail Syllabus of all subjects of Instrumentation Engineering (IS) 7th Sem 2019 regulation, visit IS 7th Sem Subjects of 2019 Pattern.