Image Signal Processing – EE5175
Title : Image Signal Processing
Course No : EE5175
Credits : 4
Basics: Applications of image processing. Notion of pixel, resolution, quantization, photon noise. Geometric transformations, source-to-target and target-to-source mapping, planar homography, rotational homography, change detection and mosaicing.
Image Formation: Pin-hole versus real aperture lens model, lens as a 2D LSI system, blur circle, Doubly block circulant system matrix, pill box and Gaussian blur models, space invariant and space variant blurring. 3D Shape from Focus: Depth of field, focal stack, focus operators, focus measure curve, Gaussian interpolation, 3D recovery, focused image recovery.Image Transforms: 1D Orthogonal transforms, Kronecker product, 2D orthogonal transforms from 1D, 2D DFT, 2D DFT for image matching, 2D DCT, Hadamard, KLT/PCA, PCA for face recognition, SVD, image denoising using SVD.
Image Enhancement: Thresholding methods (peak-valley, Otsu, Chow-Kaneko), histogram equalisation and modification, Noise models, mean, weighted mean, median, weighted median, non local means filter, frequency domain filtering, illumination compensation by homomorphic filtering, segmentation by k-means clustering, higher-order statistics based clustering.
Image Restoration: Well-posed and ill-posed problems, Fredholm integral equation, condition number of matrix, conditional mean, Inverse filter, Wiener filter, ML and MAP restoration, image super-resolution.
Edge Detection: Gradient operators, Prewitt, Sobel, Roberts, compass operators, LOG, DOG, Canny edge detectors, non-maxima suppression, hysteresis thresholding.
Text Books :
- Gonzalez and Woods: Digital image processing.
- A.K. Jain: Fundamentals of digital image processing.
- Al Bovik: Handbook of image and video processing.
- J.S. Lim: Two dimensional signal and image processing.