ET7015 DIGITAL IMAGE PROCESSING AND APPLICATIONS

ET7015       DIGITAL IMAGE PROCESSING AND APPLICATIONS

UNIT I    FUNDAMENTALS OF IMAGE PROCESSING

Introduction – Steps in image processing systems – Image acquisition – Sampling and Quantization – Pixel relationships – Color 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

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UNIT III   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. 

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

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UNIT V    APPLICATION 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”, 2nd Edition,      Pearson Education, 2003. 

2. Milan Sonka, Valclav Halavac and Roger Boyle, “Image Processing, Analysis and      Machine Vision”, 2nd Edition, Thomson Learning, 2001. 

3. Anil K.Jain, “Fundamentals of Digital Image Processing”. Pearson Education, 2003.