數位影像處理

臺北科技大學 115-1 學期課程，課號 364899。

課程大綱

This course will be lectured in Chinese/English. Teaching contents include the following topics: 1.Digital image fundamentals and 2.Image transforms. 3.Image enhancement 4. Image restoration 5. Color image processing. 6. Image compression. 7. Image segmentation and feature detection 8. Representation and description 9. Recognition and interpretation.

課程進度

1. Introduce to Image Processing AI applications Computer Imaging Systems Human Visual Perception Image Representation 2. Introduction to Image Analysis Preprocessing Techniques Edge/Line Detection Image Segmentation Discrete Transform Feature Extraction 3. Image Enhancement in Spatial Domain Grayscale Modification Image Sharpening Filters Image Smoothing Filters 4. Image Enhancement in Frequency Domain Fourier Transform Image Sharpening Filters Image Smoothing Filters Homomorphic Filtering 5. Introduction to Image Restoration Spatial Filters for Noise Removal Frequency Filters for Noise Removal 6. Color Image Processing Color Models Pseudo-color Image Processing Color Transformation 7. Compression Algorithms Image Compression Models Different Compression Algorithms

評量方式

Quiz:15%, Homework:15%, Midterm 35%, and Final 35%.

教材

【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：是 Textbook： Digital Image Processing Authors：Rafael C. Gonzalez & Richard E. Woods (開發圖書公司) 4th Edition. References： Digital Image Processing Using MATLAB by Rafael C. Gonzalez, Richard E. Woods, and Steven L. Eddins, 2nd Edition.