University of Tsukuba | Grad. Scho. Syst. and Info. Eng. | Dept. Comp. Sci. | List of Courses
信号画像処理特論II_E
Instructor(s)
Taizo Suzuki, Keisuke Kameyama
E-Mail Taizo Suzuki:taizo@cs.tsukuba.ac.jp, Keisuke Kameyama:keisuke.kameyama@cs.tsukuba.ac.jp
URL
Office hours SB1107 Fri 15:00-16:00
Cource# 01CH509, 01CJ230
Area Media Engineering
Basic/Advanced
Course style lecture
Term SprB
Period Mon 5,6
Room# 3A306
Keywords Signal processing, image processing, filtering, sparsity and energy minimization problem
Prerequisites
Goal
Outline This lecture concerns the field of advanced filter and energy minimization problem, which is an importnat fundamental technology for multi-media.
Course plan 1st week: "Filtering"
 Importance of image processing, Filtering, Kind of filters
2nd week: "Image Denoising"
 Average filter, Median filter, Birateral filter
3rd week: "Image Edge Extraction"
 Differential filter, Sobel filter, Laplacian filter
4th week: "Sparsity and Energy Minimization Problem"
 Convex function, Sparsity, Total variation method
5th week: "Other Image Processing Methods"
 Contents dependent on year
Textbook
References (1) Digital Image Processing [newly-revised edition], CG-ARTS Society (2015).
(2) R. C. Gonzalez and R. E. Woods, Digital Image Processing, Prentice Hall (2007).
(3) J.-L. Starck, F. Murtagh, and J. M. Fadili, Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity. Cambridge University Press, (2010).
Evaluation Dependent on year, we impose writing examination or submitting a report. The evaluation will be made by writing them.
TF / TA
Misc.
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