Introduction and Digital Image Fundamentals:
Digital Image Fundamentals, Human visual system, Image as a 2D data, Image representation – Gray scale and Colour images, image sampling and quantization
Image enhancement in Spatial domain:
Basic grey level Transformations, Histogram Processing Techniques, Histogram equalization, Histogram Matching, Spatial Filtering, Low pass filtering, High pass filtering, Mexican Hat Transformation.
Filtering in the Frequency Domain:
Introduction to the Fourier transform and frequency domain concepts, Extension to functions of two variables, low pass filter, high pass filter, Laplace transformation, Image Smoothing, Image Sharpening, Homo-morphic filtering
Image Restoration and Reconstruction:
Various noise models, image restoration using spatial domain filtering, image restoration using frequency domain filtering, Estimating the degradation function, Inverse filtering.
Colour Image Processing:
Colour Fundamentals, Colour Models, Pseudo colour image processing
Fundamentals of redundancies, Basic Compression Methods: Huffman coding, Arithmetic coding, Error free compression, Lossy compression. LZW coding, JPEG Compression standard
Morphological Image Processing:
Erosion, dilation, opening, closing, Basic Morphological Algorithms : hole filling, connected components, thinning, skeletons
point, line and edge detection, Thresholding, Regions Based segmentation, Edge linking and boundary detection, Hough transform
Object Recognition and Case studies:
|Image Processing.pdf||225.05 KB|