CS9261 DIGITAL IMAGING

CS9261 DIGITAL IMAGING

UNIT I 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.
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UNIT II 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.

UNIT III IMAGE SEGMENTATION AND FEATURE ANALYSIS 9

Detection of Discontinuities – Edge Operators – Edge Linking and Boundary Detection –
Thresholding – Region Based Segmentation – Morphological WaterSheds – Motion
Segmentation, Feature Analysis and Extraction.

UNIT IV 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.

UNIT V APPLICATIONS OF IMAGE PROCESSING

Image Classification – Image Recognition – Image Understanding – Video Motion Analysis –
Image Fusion – Steganography – Digital Compositing – Mosaics – Colour Image Processing..

REFERENCES:

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”, Person Educaiton, 2003.