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LECTURE NOTES ON DIGITAL IMAGE PROCESSING (DIP) Unit Wise free pdf download
Neeraj Yadav

LECTURE NOTES ON DIGITAL IMAGE PROCESSING (DIP) Unit Wise free pdf download

Neeraj Yadav | 24-Jun-2016 |
DIP , DIGITAL IMAGE FUNDAMENTALS AND TRANSFORMS , IMAGE ENHANCEMENT TECHNIQUES , Image restoration , IMAGE COMPRESSION , IMAGE SEGMENTATION AND REPRESENTATION ,

Hi friends, here Neeraj Yadav uploaded notes for Digital Image Processing with title LECTURE NOTES ON DIGITAL IMAGE PROCESSING (DIP) Unit Wise free pdf download. You can download this lecture notes, ebook by clicking on the below file name or icon.

DIGITAL IMAGE PROCESSING


UNIT I DIGITAL IMAGE FUNDAMENTALS AND TRANSFORMS 
Elements of visual perception – Image sampling and quantization basic relationship between pixels – Basic geometric transformations – Introduction to fourier transform and DFT – Properties of 2D fourier transform – FFT – Separable image transforms – Walsh- Hadamard – Discrete cosine transform, Haar, Slant-Karhunen – Love transforms.

UNIT II IMAGE ENHANCEMENT TECHNIQUES 
Spatial domain methods: Basic grey level transformation – Histogram equalization – Image subtraction – Image averaging – Spatial filtering – Smoothing, sharpening filters –  Laplacian filters – Frequency domain filters – Smoothing – Sharpening filters – Homomorphic filtering. 

UNIT III IMAGE RESTORATION 
Model of image degradation/restoration process – Noise models – Inverse filtering – Least mean square filtering – Constrained least mean square filtering – Blind imager– Pseudo inverse – Singular value decomposition. 

UNIT IV IMAGE COMPRESSION 
Lossless compression: variable length coding – LZW coding – Bit plane coding– Predictive coding– DPCM. Lossy Compression: Transform coding – Wavelet coding – Basics of image compression standards – JPEG, MPEG, basics of vector quantization. 

UNIT V IMAGE SEGMENTATION AND REPRESENTATION 
Edge detection – Thresholding – Region based segmentation – Boundary representation – Chair codes– Polygonal approximation – Boundary segments – Boundary descriptors – Simple descriptors– Fourier descriptors – Regional descriptors – Simple descriptors– Texture. 

 

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