Chapter I “Introduction”, contents, methods and applications of the digital image processing; imaging system and visual system.
Chapter II “image digitalization”, one-dimensional sampling concepts; two-dimensional sampling theorem; image samples quantification; representation and storage of digital image.
Chapter III “image transformation”, discrete Fourier transformation; discrete cosine transformation; Walsh transformation; Hadamard transformation; wavelet transformation.
Chapter IV “image enhancement”, Spatial method; frequency method; homomorphism filtering method; color image processing.
Chapter V ”image compression and coding”, basic principle of image compression: image redundancy, fidelity criteria, information theory, lossless compression, lossy compression; static image coding; moving picture coding; advanced research.
Chapter VI “image restoration”, degradation model; unconstrained image restoration: inverse filter, recovery for image blurring; constrained image restoration: Wiener filter, least squares filter; de-noising recovery: median filter; other restoration techniques: geometric distortion correction, maximum entropy image restoration.
Chapter VII “image reconstruction”, basic principles and methods; the development and application of CT technology.
Chapter VIII “image analysis”, image segmentation, image description, object recognition.
