Image Signal Processing

Por: Swayam . en: ,

Week 1: Introduction to Image Processing, Basics of Imaging, Geometric TransformationsWeek 2: Hierarchy of Transformations, Rotational Representation, Homography ComputationWeek 3: Research Challenges Involving Camera Motion, Basics of Real Aperture Camera, Lens as LSI SystemWeek 4: Blur Kernels, Shape from X, Shape from FocusWeek 5: Shape from Focus, Generalized Shape from Focus, Depth from Defocus (DFD) and Motion BlurWeek 6: Unitary Image Transforms, From 1D to 2D Unitary Transforms, Higher Dimensional Unitary TransformsWeek 7: 2D Unitary Transforms, 2D Discrete Fourier Transform, 2D Discrete Cosine TransformWeek 8: Karhunen-Loeve Transform (KLT), Applications of KLT, Singular Value DecompositionWeek 9: Image Enhancement, Adaptive Thresholding, K-Means Clustering, ISODATA ClusteringWeek 10:Contrast Stretching, Noise Filtering, Non-local Mean Filtering, Impulse Noise Filtering, Noise Filtering in Transform Domain, Illumination CompensationWeek 11:Image Restoration, Ill-posed Problems, Matrix Conditioning, Matrix Numerical Stability, Inverse filter for Image Deblurring, Regularization TheoryWeek 12:Minimum Mean Square Error (MMSE) Estimator, Linear MMSE, Spatial Wiener Filter, Wiener filter in Fourier domain, Image Super-resolution, Super-resolution Examples

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