◆ Preliminaries ◆ Erosion and Dilation ◆ Opening and Closing ◆ The Hit-or-Miss Transformation ◆ Some Basic Morphology Algorithms ◆ Gray-scale Morphology

 Background  Fundamentals  Some Basic Compression Methods  Digital Image Watermarking*  Background  Fundamentals  Some Basic Compression Methods  Digital Image Watermarking*

◆ Background ◆ Multiresolution Expansions ◆ Wavelet Transforms in One Dimension ◆ The Fast Wavelet Transform ◆ Wavelet Transforms in Two Dimensions ◆ Wavelet Packets

◆ Color Fundamentals ◆ Color Models ◆ Pseudocolor Image Processing ◆ Basics of Full-Color Image Processing ◆ Color Transformations ◆ Smoothing and Sharpening ◆ Image Segmentation Based on Color ◆ Noise in Color Images ◆ Color Image Compression

◆ A Model of the Image Degradation/Restoration Process ◆ Noise Models ◆ Restoration in the Presence of Noise Only-Spatial Filtering ◆ Periodic Noise Reduction by Frequency Domain Filtering ◆ Linear, Position-Invariant Degradations ◆ Estimating the Degradation Function ◆ Inverse Filtering ◆ Minimum Mean Square Error (Wiener) Filtering ◆ Constrained Least Squares Filtering ◆ Geometric Mean Filter ◆ Image Reconstruction from Projections*

◆ Background ◆ Preliminary Concepts ◆ Sampling and the Fourier Transform of Sampled Functions ◆ The Discrete Fourier Transform of One Variable ◆ Extension to Functions of Two Variables ◆ Some Properties of the 2-D Discrete Fourier Transform ◆ The Basics of Filtering in the Frequency Domain ◆ Image Smoothing Using Frequency Domain Filters ◆ Image Sharpening Using Frequency Domain Filters ◆ Selective Filtering

◆ Background ◆ Some Basic Intensity Transformation Functions ◆ Histogram Processing ◆ Fundamentals of Spatial Filtering ◆ Smoothing Spatial Filters ◆ Sharpening Spatial Filters ◆ Combining Spatial Enhancement Methods ◆ Using Fuzzy Techniques *

◆图像的视觉感知 ◆图像的获取和表示 ◆像素的基本关系 ◆数字图像的基本运算

◆数字图像的基本概念 ◆数字图像的发展历史 ◆数字图像处理的研究内容 ◆图像处理技术应用

电子科技大学：《信号处理理论与算法》课程教学资源（课件讲稿）第四部分 CH03 两通道滤波器组