电子科技大学：《集成电子学 Integrated Electronics》课程教学资源（课件讲稿）第二章 缩小到纳米尺寸的CMOS器件面临的挑战

硅基MOS集成电路仍将是微电子技术的主流 微电子工业是国民经济信息化的基石 集成电路是微电子技术的核心， 如果以单位质量的“钢”对国民生产总值的贡献为1来计算，则小轿车为5，彩电为30，计算机100，集成电路是1000

电子科技大学：《集成电子学 Integrated Electronics》课程教学资源（教学大纲，陈勇）

◆ Fundamentals ◆ Point, Line, and Edge Detection ◆ Thresholding ◆ Region-Based Segmentation ◆ Segmentation Using Morphological Watersheds ◆ The Use of Motion in Segmentation

◆ 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