【摘要】 人工智能为数字图像处理提供新的研究理念，然而，目前高校在数字图像处理的教学中很少引入人工智能，并存在教学内容陈旧、教学方式单一、课程实验简单等问题，影响教学效果，不利于综合型、创新型人才培养。针对此问题，该文结合人工智能背景，从理论教学、实验教学、考核方式和综合项目扩展四个角度进行该课程的教学改革，提出以学生为中心、以项目为驱动、以全面和多角度为目标、以探索为方向的改革方案并给出详细的实施措施。实践表明，通过该文的教改思路和方法，教学效果得以改善，学生对数字图像处理的传统方法和深度学习方法有全面的了解和掌握，项目实践和科研探索能力得以训练和提升，可为其他高校的课程教学提供参考借鉴。更多还原

【Abstract】 Artificial Intelligence(AI) provides a new research concept for Digital Image Processing(DIP). However, AI is rarely used in the DIP teaching in colleges and universities at present. Outdated teaching materials, single teaching methods, and simple course experiments adversely affect not only the teaching efficiency but also the cultivation of comprehensive and innovative talents.To solve these problems, this paper combining the background of AI, carries out the teaching reform of the course from 4perspectives: theoretical teaching, experimental teaching, assessment methods and comprehensive project expansion, and presents a student-centered, project-driven, comprehensive and multi-angle goal, exploration-oriented reform plan with detailed implementation measures. Practice shows that through the teaching reform ideas and methods, the teaching effect can be improved, students have a comprehensive understanding and mastery of the DIP traditional and Deep Learning(DL) methods, and the project practice and research exploration abilities can be trained and improved, which can be a reference for other universities’ curriculum teaching.更多还原