Course Objectives: To understand the concepts of digital image processing, to enable to design applications of digital image processing

Fundamentals of image processing : Introduction, Steps in Image Processing Systems, Image Acquisition, Sampling and Quantization Pixel Relationships, Colour Fundamentals and Models, File Formats, Image operations- Arithmetic, Geometric and Morphological.

Image enhancement: Spatial Domain Gray level Transformations Histogram Processing Spatial Filtering – Smoothing and Sharpening. Frequency Domain: Filtering in Frequency Domain, DFT, FFT, DCT, Smoothing and Sharpening filters, Homomorphic Filtering.

.

Image segmentation and feature analysis: Detection of Discontinuities, Edge Operators, Edge Linking and Boundary Detection, Thresholding, Region Based Segmentation, Morphological WaterSheds, Motion Segmentation, Feature Analysis and Extraction.

Multi resolution analysis and compressions :Multi Resolution Analysis: Image Pyramids, Multi resolution expansion, Wavelet Transforms. Image Compression: Fundamentals, Models, Elements of Information Theory, Error Free Compression, Lossy Compression, Compression Standards.

Applications: Image Classification, Image Recognition,/ Image Understanding, Video Motion Analysis, Image Fusion, Steganography, Digital Compositing, Mosaics, Colour Image Processing, etc. in BioMedical, Machine vision/Robotics.

Course Outcomes: After the completion of this course the student will be able to:

• understand the concept of digital image processing

• learn about Image Smoothing and Spatial Filtering

• study and analyze the performance through Frequency Domain Processing

• understand Image Restoration, Compression , Segmentation and Morphological Image Processing

Recommended Books:

1. Rafael C.Gonzalez and Richard E.Woods, “Digital Image Processing” Second Edition, Pearson Education, 2003.

2. Milan Sonka, Vaclav Hlavac and Roger Boyle, “Image Processing, Analysis and Machine Vision”, Second Edition, Thomson Learning, 2001

3. Anil K.Jain, “Fundamentals of Digital Image Processing”, PHI, 2006.

4. Sanjit K. Mitra, and Giovanni L. Sicuranza, “Non Linear Image Processing”, Elsevier, 2007.