Image Enhancement in Digital Image Processing | DIP | University Exams | #10
#digital_image_processing #notesnaka #university_exams
This video is a part of the DIGITAL IMAGE PROCESSING series. We solve problems from various topics such as Introduction to Image Processing Systems, Digital Image Fundamentals:- Image model, Relationship between Pixels, Imaging geometry, Camera model, Image Sensing and Acquisition, Sampling and quantization, Image Enhancement and in spatial Domain: Point
processing, Neighbourhood Processing, High pass filtering, High boost filtering, zooming.
Image Enhancement based on Histogram modelling, Image Enhancement in frequency domain: 1D& 2D Fourier transform, Low pass frequency domain filter, High pass frequency domain filters, Homomorphics filtering, Image Segmentation, Detection of discontinuation by point detection, line detection, edge detection, Edge linking and boundary detection Local analysis, global by graph, theoretic techniques, Thresh-holding, Morphology, Representation and description, Discrete image transform, Image Compression, Wavelet transformation, Image geometry, Image restoration.
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