| ■授業内容と方法 |
In this lecture, we shall concentrate about 2-D signal processing, which is digital image processing. First, we shall study the necessary mathematics for 2-D processing. Then, the fundamental of digital image are aimed for study. Image transformations, which are used in this topic, will be reviewed. Image enhancement is one of the main point in image processing to be studied. Then after, we should know about image restoration, where many techniques are going to be said there. One big aim in digital image processing is the image compression algorithms. Here, again we need our concentration on these topics. Image segmentation, representation and description are the remainder topics to make one becomes with full fundamental knowledge about these topics, which could be studied for further readings.
There are many applications for digital image processing, medical imaging, remote sensing, communications, image recognition and so on are few to be mentioned here.
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| ■達成目標 |
To understand mathematics of 2-D signal processing.
To understand human visiual perception, robot vision & 3-D stereoscope,image sampling & pixel relations, film, camera.
To understand image transformation.
To understand different algorithm in image enhancement.
To understand different algorithm in image restoration.
Image coding algorithm & segmentation & description
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| ■評価基準と評価方法 |
Present at class 10%
Simulation home work 30%
Report 30%
Persentation 30%
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| ■履修条件 |
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Basic DSP, Communications
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| ■授業計画 |
第1回目(4/12)
Introduction: 2-D system, related theorems
第2回目(4/１９)
Mathematical characteristics of image
第3回目(4/2６)
Digital Image fundamental: Elements of visual perceptions
第4回目(5/1０)
Image model, sampling and quantization
第5回目(5/1７)
Basic relationship between pixels
第6回目(5/2４)
Image geometry, photography film
第7回目(５/３１)
Image transforms: 2-D Fourier transform, FFT, WT, HT, DCT
第8回目(6/７)
Haar transform, Slant transform
第9回目(6/1４)
The Hotelling transform
第10回目(6/2１)
Image enhancement: Enhancement by point processing, Histogram processing, Subtraction, Averaging
第11回目(6/２８)
Spatial filtering, frequency domain, Homomorphic filtering
第12回目(7/５)
Color image processing
第13回目(7/1２)
Image restoration: Model, algebraic approach, inverse filtering, LMS (wiener) filter
第14回目(7/１９)
Constraint LS restoration, interactive restoration, geometric transformation
第15回目(7/2６)
Image compression：Fundamentals, models, error-free compression, lossy compression, standards
第16回目(8/２)
Last Examination: Students' Presentation & Report Submission
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| ■事前・事後学習 |
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| ■教科書 |
ISBN |
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Digital Image Processing, by Rafael G. Gonzalez, Richard E. Woods
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9780131687288 |
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| ■参考書 |
ISBN |
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| ■備考(メッセージ) |
ニュースグループ
ura.ie.classes.signal
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| ■オフィスアワー |
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Tuesday 3:00-5:00、 Friday 3:00-5:00
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| ■メールアドレス |
asharif@ie.u-ryukyu.ac.jp
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| ■URL |
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http://www.ie.u-ryukyu.ac.jp/ie/lecture/syllabus/master/ , http://www.ie.u-ryukyu.ac.jp/~asharif/pukiwiki/index.php
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