responsible instructor: L. Czúni associate professor
During the course, students will learn about some high-level and special solutions of image processing, which play an important role in modern imaging, image coding and image analysis applications.
Topics:
· Special 2D and 3D imaging methods
· Color transformations and their applications
· Measurement of image quality
· Still image compression algorithms
· Compress videos
· Watermarking of images and videos
· Image feature extraction and image matching
· Neural networks in image processing
· Advanced image segmentation and object detection methods
Literature:
· Palágyi Kálmán: Képfeldolgozás haladóknak, Typotex Kiadó, 2011.
· Czúni-Tanács: Képi információ mérése, 2011
· Kató-Czúni: Számítógépes látás, 2011
· Ian Goodfellow, Yoshua Bengio, Deep Learning (Adaptive Computation and Machine Learning series), ISBN-13: 978-0262035613, The MIT Press
· David R. Bull, Communicating Pictures: A Course in Image and Video Coding, Academic Press, SBN-13: 978-0124059061
· Himanshu Singh - Practical Machine Learning and Image Processing For Facial Recognition, Object Detection, and Pattern Recognition Using Python-Apress (2019)
· Mohamed Elgendy - Deep Learning for Vision Systems (2020, Manning Publications)
· Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004). Image quality assessment: from error visibility to structural similarity. IEEE transactions on image processing, 13(4), 600-612.
· Ma, K., & Fang, Y. (2021, October). Image quality assessment in the modern age. In Proceedings of the 29th ACM International Conference on Multimedia(pp. 5664-5666).
· Wieckowski, A., Hege, G., Bartnik, C., Lehmann, C., Stoffers, C., Bross, B., & Marpe, D. (2020, October). Towards a live software decoder implementation for the upcoming versatile video coding (VVC) codec. In 2020 IEEE International Conference on Image Processing (ICIP)(pp. 3124-3128). IEEE.
· Bull, D., & Zhang, F. (2021). Intelligent image and video compression: communicating pictures. Academic Press.