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UNIT I:
Fundamentals of Image Processing and Image Transforms:
Introduction, Image sampling, Quantization, Resolution. Image file formats, Elements of image processing system, Applications of Digital image processing. Introduction, Need for transform, image transforms. Fourier transform, 2 D Discrete Fourier transform and its transforms. Importance of phase, Walsh transform, Hadamard transform, Haar transform, slant transform Discrete cosine transform, KL transform, singular value decomposition, comparison of different image transforms
UNIT II:
Image Enhancement:
Spatial domain methods: point processing techniques, Histogram processing, Fundamentals of
Spatial filtering, smoothing spatial filters, sharpening spatial filters. Frequency domain methods:
Basics of filtering in frequency domain, image smoothing, image sharpening. Selective filtering.
Image Restoration:
Introduction to Image restoration, Image degradation, Types of image blur. Classification of image restoration techniques. Image restoration model, Linear and Nonlinear image restoration techniques, Blind de-convolution.
UNIT III:
Image Segmentation:
Introduction to image segmentation, Point, Line and Edge Detection, Region based
segmentation., Classification of segmentation techniques, Region approach to image
segmentation, clustering techniques, Image segmentation based on thresholding, Edge based
segmentation, Edge detection and linking, Hough transform.
Image Compression:
Introduction, Need for image compression, Redundancy in images. Classification of redundancy
in images, image compression scheme, Classification of image compression schemes,
Fundamentals of information theory, Run length coding. Shannon Fano coding, Huffman
coding. Arithmetic coding, Predictive coding, Transformed based compression, Image
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