Image Signal Processing

Week 1: Introduction to Image Processing, Basics of Imaging, Geometric Transformations

Week 2: Hierarchy of Transformations, Rotational Representation, Homography Computation

Week 3: Research Challenges Involving Camera Motion, Basics of Real Aperture Camera, Lens as LSI System

Week 4: Blur Kernels, Shape from X, Shape from Focus

Week 5: Shape from Focus, Generalized Shape from Focus, Depth from Defocus (DFD) and Motion Blur

Week 6: Unitary Image Transforms, From 1D to 2D Unitary Transforms, Higher Dimensional Unitary Transforms

Week 7: 2D Unitary Transforms, 2D Discrete Fourier Transform, 2D Discrete Cosine Transform

Week 8: Karhunen-Loeve Transform (KLT), Applications of KLT, Singular Value Decomposition

Week 9: Image Enhancement, Adaptive Thresholding, K-Means Clustering, ISODATA Clustering

Week 10:Contrast Stretching, Noise Filtering, Non-local Mean Filtering, Impulse Noise Filtering, Noise Filtering in Transform Domain, Illumination Compensation

Week 11:Image Restoration, Ill-posed Problems, Matrix Conditioning, Matrix Numerical Stability, Inverse filter for Image Deblurring, Regularization Theory

Week 12:Minimum Mean Square Error (MMSE) Estimator, Linear MMSE, Spatial Wiener Filter, Wiener filter in Fourier domain, Image Super-resolution, Super-resolution Examples