Introduction to Image Processing
Digital images. Sampling and quantization of images. Color, stereo and video images. Arithmetic operations, gray scale manipulations, distance measures, connectivity. Image transforms. Linear and nonlinear filters. Image enhancement. Image restoration: degradation models, inverse filtering. Image segmentation. Image representation and description techniques.