JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Prerequisites:

• 1. Students are expected to have knowledge in linear signals and systems, Fourier Transform, basic linear algebra, basic probability theory and basic programming techniques; knowledge of Digital Signal Processing is desirable.
• 2. A course on “Computational Mathematics”
• 3. A course on “Computer Oriented Statistical Methods”

Course Objectives

• 1. Provide a theoretical and mathematical foundation of fundamental Digital Image Processing concepts.
• 2. The topics include image acquisition; sampling and quantization; preprocessing; enhancement; restoration; segmentation; and compression.

Course Outcomes

• 1. Demonstrate the knowledge of the basic concepts of two-dimensional signal acquisition, sampling, and quantization.
• 2. Demonstrate the knowledge of filtering techniques.
• 3. Demonstrate the knowledge of 2D transformation techniques.
• 4. Demonstrate the knowledge of image enhancement, segmentation, restoration and compression techniques.

UNIT - I

Digital Image Fundamentals: Digital Image through Scanner, Digital Camera. Concept of Gray Levels. Gray Level to Binary Image Conversion. Sampling and Quantization. Relationship between Pixels. Imaging Geometry. 2D Transformations-DFT, DCT, KLT and SVD.

UNIT - II

Image Enhancement in Spatial Domain Point Processing, Histogram Processing, Spatial Filtering, Enhancement in Frequency Domain, Image Smoothing, Image Sharpening.

UNIT - III

Image Restoration Degradation Model, Algebraic Approach to Restoration, Inverse Filtering, Least Mean Square Filters, Constrained Least Squares Restoration, Interactive Restoration.

UNIT - IV

Image Segmentation Detection of Discontinuities, Edge Linking and Boundary Detection, Thresholding, Region Oriented Segmentation.

UNIT - V

Image Compression Redundancies and their Removal Methods, Fidelity Criteria, Image Compression Models, Source Encoder and Decoder, Error Free Compression, Lossy Compression.

Text Book:

• 1. Digital Image Processing: R.C. Gonzalez & R.E. Woods, Addison Wesley/ Pearson Education, 2nd Ed, 2004. R19 M. TECH. CN/CNIS/CYBER SECURITY

References:

• 1. Fundamentals of Digital Image Processing: A.K.Jain , PHI.
• 2. Digital Image Processing using MAT LAB: Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins: Pearson Education India, 2004.
• 3. Digital Image Processing: William K. Pratt, John Wilely, 3rd Edition, 2004. R19 M. TECH. CN/CNIS/CYBER SECURITY M. Tech. (CNIS/CN/Cyber Security) – I Year – II Semester Common to CNIS, CN and Cyber Security