Digital Image Processing detail syllabus for Electronics Engineering (EE), 2019-20 scheme is taken from AKTU official website and presented for AKTU students. The course code (REC072), and for exam duration, Teaching Hr/Week, Practical Hr/Week, Total Marks, internal marks, theory marks, and credits do visit complete sem subjects post given below.
For all other ee 7th sem syllabus for b.tech 2019-20 scheme aktu you can visit EE 7th Sem syllabus for B.Tech 2019-20 Scheme AKTU Subjects. For all other Departmental Elective-III subjects do refer to Departmental Elective-III. The detail syllabus for digital image processing is as follows.
Unit I
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Unit II
Image Transforms: Need for image transforms, Properties of Fourier transform, Discrete cosine transform, Discrete sine transform, Hadamard transform, Haar transform, Slant transform, SVD and KL transforms, Comparison between transforms. Image Enhancement: Image Quality and Need for image enhancement, Image enhancement operations, Image enhancement in spatial domain, histogram based techniques, Spatial Filtering concepts, Image smoothing spatial filters, Image Sharpening spatial filters, Image smoothing in frequency domain filtering, Image sharpening in frequency domain, Homomorphism filtering.
Unit III
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 IV
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Unit V
Image Segmentation: Introduction, Detection of Discontinuities, Edge Detection, Hough Transforms and Shape Detection, corner detection, Principle of thresholding, Principle of region-growing.
Course Objectives:
- To study the image fundamentals and mathematical transforms necessary for image processing.
- To study the image enhancement techniques
- To study image restoration procedures.
- To study the image compression procedures.
- To study the image segmentation and representation techniques
Course Outcomes:
- Understand the need for image transforms and their properties
- Choose appropriate technique for image enhancement both in spatial and frequency Domains.
- Identify causes for image degradation and apply restoration techniques.
- Compare the image compression techniques in spatial and frequency domains.
- Select feature extraction techniques for image analysis and recognition.
Reference Books:
- Rafael C. Gonzalez Richard E woods Steven L. Eddins, Digital Image Processing UsingMATLAB”, Mc Graw Hill, 2nd Edition
- Jayaraman, Digital Image Processing, McGrawhill Education
- S. Sridhar, Digital Image Processing, OXFORD University Press, Second Edition.
- Rafael C. Gonzalez Richard E woods Steven L. Eddins, Digital Image”, Pearson.
- Anil K Jain, ‘Fundamentals of Digital Image Processing, Pearson.
For detail syllabus of all other subjects of B.Tech Ee, 2019-20 regulation do visit Ee 7th Sem syllabus for 2019-20 Regulation.
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