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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
DIGITAL IMAGE PROCESSING II EEM 538 0 3 + 0 3 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Yüksek Lisans
Dersin Türü SECMELI
Dersin Koordinatörü Dr.Öğr.Üyesi GÖKÇEN ÇETİNEL
Dersi Verenler
Dersin Yardımcıları Res.Asst. Burhan Barakli
Dersin Kategorisi
Dersin Amacı
It is evident that the digital video will play an important role on computer, communication and imaging industries in the forthcoming years. Advances in digital video hardware and emergence of international standards for digital video have led to various digital video products that show that this field starts to mature. The goal of this course, which is a continuation of Digital Image Processing I, is a detailed discussion of digital video processing algorithms that include the sate-of-the art methods for various applications. At the end of the course, the student will be able to follow the growing literature that exposes the latest research results and will be able to solve open problems in this field
Dersin İçeriği
Representation of digital video, two dimensional (2-D) motion estimation, video filtering, image compression, video compression
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Understanding how digital video is represented 4 - 5 - 9 - 12 - A - C - D -
2 - Discussing two dimensional motion models 4 - 5 - 9 - 12 - A - C - D -
3 - Learning how to filter digital video 4 - 5 - 9 - 12 - A - C - D -
4 - Comprehending video compression 4 - 5 - 9 - 12 - A - C - D -
5 - Investigating video compression standards 4 - 5 - 9 - 12 - A - C - D -
Öğretim Yöntemleri: 4:Drilland Practice 5:Demonstration 9:Simulation 12:Case Study
Ölçme Yöntemleri: A:Testing C:Homework D:Project / Design

Ders Akışı

Hafta Konular ÖnHazırlık
1 Basics of analog and digital video, definition of digital video processing, its advantages over analog video processing
2 Three dimensional (3-D) motion models, geometric and photometric image formation, observation noise
3 Sampling for analog and digital video, 2-D rectangular sampling, 2-D periodic sampling, 3-D sampling, signal reconstruction from samples, sampling structure conversion
4 2-D motion and apparent motion, 2-D motion estimation, methods that use optical flow equation
5 Block-motion models, phase-correlation models, block matching method, hierarchical estimation methods
6 Newton-Raphson, Netravali-Robbins, Walker-Rao pixel-based 2-D motion estimation methods
7 Optimization techniques that use Bayes theorem, basics of MAP motion estimation and MAP motion estimation algorithms
8 Fundamentals of image compression
9 Lossless image compression methods
10 Lossy image compression, JBIG, JPEG, and JPEG 2000 image compression standards
11 Video compression based on more than one image, introduction to video compression standards, digital video systems
12 H.26x and MPEG 1 digital video compression standards
13 MPEG 2 digital video compression standard
14 MPEG 4 digital video compression standard

Kaynaklar

Ders Notu
Ders Kaynakları

Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 Ability; to Access to wide and deep information with scientific researches in the field of Engineering, evaluate, interpret knowledge and implement. X
2 Ability; To complete and implement “Limited or incomplete data” by using the scientific methods. To stick knowledge of different disciplinarians together. X
3 Ability; to consolidate engineering problems, develop proper method to solve and apply innovative solutions. X
4 Ability; To develop new and original ideas and methods, To develop new innovative solutions at design of system, component or process X
5 Comprehensive information on modern techniques, methods and their borders which are being applied to engineering. X
6 Ability; to design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process. X
7 High level ability to define the required information, data and reach, assess. X
8 Ability; To lead multi-disciplinary teams To take responsibility to define approaches for complex situations. X
9 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
10 Social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, announcement. X
11 Awareness at new and developing application of profession and ability to analyze and study on those applications. X
12 Ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment. X
13 Ability; to Access to wide and deep information with scientific researches in the field of Engineering, evaluate, interpret knowledge and implement. X
14 Ability; to Access to wide and deep information with scientific researches in the field of Engineering, evaluate, interpret knowledge and implement. X
15 Ability; To complete and implement “Limited or incomplete data” by using the scientific methods. To stick knowledge of different disciplinarians together. X
16 Ability; To complete and implement “Limited or incomplete data” by using the scientific methods. To stick knowledge of different disciplinarians together. X
17 Ability; to consolidate engineering problems, develop proper method to solve and apply innovative solutions. X
18 Ability; to consolidate engineering problems, develop proper method to solve and apply innovative solutions. X
19 Ability; To develop new and original ideas and methods, To develop new innovative solutions at design of system, component or process X
20 Ability; To develop new and original ideas and methods, To develop new innovative solutions at design of system, component or process X
21 Comprehensive information on modern techniques, methods and their borders which are being applied to engineering. X
22 Comprehensive information on modern techniques, methods and their borders which are being applied to engineering. X
23 Ability; to design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process. X
24 Ability; to design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process. X
25 High level ability to define the required information, data and reach, assess. X
26 High level ability to define the required information, data and reach, assess. X
27 Ability; To lead multi-disciplinary teams To take responsibility to define approaches for complex situations. X
28 Ability; To lead multi-disciplinary teams To take responsibility to define approaches for complex situations. X
29 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
30 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
31 Social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, announcement. X
32 Social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, announcement. X
33 Awareness at new and developing application of profession and ability to analyze and study on those applications. X
34 Awareness at new and developing application of profession and ability to analyze and study on those applications. X
35 Ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment. X
36 Ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment. X

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 30
ProjeTasarim 1 10
ProjeTasarim 2 10
ProjeTasarim 3 10
ProjeTasarim 4 10
ProjeTasarim 5 10
ProjeTasarim 6 10
Odev 1 10
Toplam 100
Yıliçinin Başarıya Oranı 60
Finalin Başarıya Oranı 40
Toplam 100

AKTS - İş Yükü

Etkinlik Sayısı Süresi(Saat) Toplam İş yükü(Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 8 6 48
Quiz 1 10 10
Assignment 1 10 10
Oral Examination 1 20 20
Performance Task (Laboratory) 1 25 25
Toplam İş Yükü 193
Toplam İş Yükü /25(s) 7.72
Dersin AKTS Kredisi 7.72
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