Introduction to image processing, Sampling and quantization, basic gray level transformations, point operations,
histogram processing, convolution and correlation, image smoothing and sharpening, Fourier transform, Noise
models, Noise reduction in spatial domain, Noise reduction in frequency domain, state-of-the-art filters for denoising
images corrupted with various kinds of noise, morphological image processing, image segmentation, color image
processing.