Course Descrption:
Image is an essential form of information representation and communication in modern society. Nowadays billions of images are generated every minutes in a variety of applications ranging from photography, entertainment, education, defense to medical. Digital image processing provides the fundamental modeling and computing solutions for image capture, filtering, segmentation, quantization, resampling and super resolution, as well as compression solutions.
In this introductory course on digital image processing, we cover the basics in both theory and practice of image sampling, quantization, filtering, and deep convolution, and their applications in segmentation, super resolution, classification and compression.
Upon completion of the course, students should be able to understand the current state of art in the image processing area, and have practical programming and system skills to address these problems and have basis for future research exploration and industry career in this area.
Prerequisites:
Probability and Random Process, Signal and Systems, Digital Signal Processing
Instructor:
Professor Zhan Ma, Room 332B, Email: mazhan@nju.edu.cn . Homepage
Teaching Assistants:
Shaowen Xie, Room 311, Email: 409151773@qq.com
微信群：
Course Schedule:
Thur. 9-11, 腾讯会议 ID # 群里更新 (Online)
Thur. 9-11, Room 仙Ⅰ-317. (Offline)
Office Hour:
Every Thurs Before and After Class (or By appointment)
Text Book/References:
Grade Policy:
Final: 80%, Assignments: 20% (Programming & Written)
Syllabus and Course Material:
Week #1 09.02 数字图像处理简介 Introduction to the digital image processing [pdf]
Week #2 09.09 图像格式 - 色彩空间 Image Formation - Color Space [pdf]
图像格式 - 几何 Image Formation - Geometry [pdf]
点操作和量化 Point Operations & Quantization [pdf]
Digital Image Processing Tutorial [pdf]
Week #3 09.16 线性滤波 Linear Filtering [pdf]
傅立叶变换 Fourier Transform [pdf]
频域滤波 Frequency-Domain Filtering [pdf]