中文课程简介

本课程主要介绍数字图像处理原理，算法和技术。主要内容包括：空域和时域分析、图像滤波器设计、图像统计建模和稀疏性建模、图像增强、图像恢复、图像分块、图像压缩、图像形态学、真彩色和伪彩色处理、机器学习方法。到本课程结束时，学生应该能够：

理解数字图像处理的基本原理；

掌握图像处理的基本知识，包括数字图像的捕捉、表达、增强、恢复、分析、压缩传输；

熟练使用各种数字图像处理算法和相关软件去解决实际问题；

了解图像处理和底层机器视觉领域的学科前沿和应用前景；

建立进一步从事本领域原创性科研的知识构架。

英文课程简介

This course introduces the principles, algorithms, and techniques of digital image processing. It covers following topics: spatial and frequency analysis, filtering, statistical and sparsity modeling, morphology, enhancement, restoration, segmentation, compression, true and pseudo color processing.

By the end of this course, students should be able to:

Master basic concepts and methodologies for the formation, representation, enhancement, restoration, analysis and compression of digital images.

Design and implement image processing algorithms for solving practical problems.

Appreciate the current state of the art methods in the field.

Establish a foundation for original research in the field of image processing.