Course title
L03652002
Digital Media Processing

 ijiri takashi Click to show questionnaire result at 2018
Course description
Image processing is indispensable for various fields, including industry, natural science, entertainment, and so on. This class, Digital Media Processing 1, introduces basic image-processing techniques such as digital image acquisition, filtering, and geometric transform. For most of algorithms presented in class, interactive demonstrations with source codes (python) will be provided to support your deep comprehension.
Purpose of class
To learn various basic algorithms for image processing, including convolution filtering, Fourier transform, affine transform, deconvolution. To improving programing skills through python programing exercises for image processing.

Lecture notes are available at takashiijiri.com.
Lecture videos are also available at Scomb system.
Goals and objectives
  1. Introduction to digital image processing - Goal is that students understand various techniques of image acquisition and can explain them.
  2. Image filtering - Goal is that students understand basic filtering techniques, such as tone curve, linear and non-linear filters and can explain them.
  3. Geometric transformation – Goal is that students understand affine transform and interpolation and can explain them.
  4. Image compression – Goal is that students understand and explain basic information theory and image compression algorithms.
  5. Programing assignments - Goal is that students write programs of various basic image processing algorithms in python.
Language
Japanese
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Introduction 1: Digital image, sampling and quantization Review the lecture and prepare the next one by checking online lecture note. 200minutes
2. Introduction 2: Digital camera, human vision, color Review the lecture and prepare the next one by checking online lecture note. 200minutes
3. Filtering 1: tone curve, linear filters Review the lecture and prepare the next one by checking online lecture note. 200minutes
4. Filtering 2: non-linear filters, halftoning Review the lecture and prepare the next one by checking online lecture note. 200minutes
5. Filtering 3: DFT, frequency filters Review the lecture and prepare the next one by checking online lecture note. 200minutes
6. Programming exercise (PC room): Introduction to python solve assignments 200minutes
7. Programming exercise (PC room): solve assignments 200minutes
8. Programming exercise (PC room): solve assignment 200minutes
9. Programming exercise (PC room): solve assignment 200minutes
10. Programming exercise (PC room): solve assignment 200minutes
11. Geometric transform : affine transform and image interpolation Review the lecture and prepare the next one by checking online lecture note. 200minutes
12. Convolution and deconvolution Review the lecture and prepare the next one by checking online lecture note. 200minutes
13. Image compression Review the lecture and prepare the next one by checking online lecture note. 200minutes
14. Examination. prepare for the examination 200minutes
15.
Total. - - 2800minutes
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 exam programing assignment minute paper Total.
1. 15% 5% 3% 23%
2. 15% 10% 3% 28%
3. 15% 10% 4% 29%
4. 20% 20%
Total. 45% 45% 10% -
Evaluation method and criteria
By examinations and assignements
Textbooks and reference materials
CG-Arts協会（画像情報教育進行委員会）『ディジタル画像処理[改訂新版] 大型本』 (in Japanese).
All the lecture notes will be uploaded at takashiijiri.com/classes/ about one week before the lecture. I recommend you to check them in advance.
Prerequisites
Recommend you to make a study plan based on this syllabus and online lecture notes (takashiijiri.com/classes/).
Office hours and How to contact professors for questions
  • Friday 10:40-12:30
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates a basic problem-solving skills
  • Course that cultivates an ability for utilizing knowledge
Active-learning course
About half of the classes are interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicatable
N/A N/A
Education related SDGs:the Sustainable Development Goals
  • 4.QUALITY EDUCATION
  • 17.PARTNERSHIPS FOR THE GOALS
Last modified : Sat Mar 21 12:29:54 JST 2020