🔵 🔴 🟡 Course description

The course is an introduction to the principles of digital image processing and its applications in the digital arts. It aims to teach students to use digital cameras and other image sources, in combination with the appropriate software, to enrich their digital creations with visual content. Upon successful completion of the course, students will be able to:

• know the properties of digital cameras and the processes of digitizing the image
• distinguish the characteristics and differences of cartographic and vector images
• understand the output of basic digital image processing algorithms
• choose appropriate software and effective methods to edit a photo or video
• apply filters and other visual effects to their artistic creations
• use AI tools when they need them
• design graphics using computer vision techniques

🔵 🔴 🟡 Theory (1 hour)

1. The digital camera
2. Cartographic images
3. Processing cartographic images
4. Applications in Digital Arts
5. Linear and morphological filters
6. Artistic Filters
7. Spectral Analysis and Processing
8. Vector Images
9. Computer Vision and Artificial Intelligence
10. Content recognition in images
11. The video
12. Edit in time
13. Depth Estimation

🔵 🔴 🟡 Workshop (2 hours)

1. Image capture, lens properties, color temperature, gamma correction
2. Brightness, color spaces, histograms
3. Merge, geometric transformations, color adjustment
4. Pixel art, threshold art, gif art, glitch art, photomosaics, panoramic photos
5. Noise removal, edge and contour stimulation, special visual effects
6. Digital painting, converting photo to painting
7. Color spectrum, texture, frequency filters
8. Representation of graphics, conversion of photo to sketch
9. Convolutional neural networks, confrontational machine learning
10. Transfer painting style to photo
11. Video Editing Techniques
12. Visual Flow and Motion Tracking
13. Draw 3D models from sequential images, with stereoscopic matching

Review language: Greek

🔵 🔴 🟡 Evaluation method:

• 50% final exam
• 50% individual work

Note: The final score results from the average of the grade of the written or oral examination (at the end of the semester) and the grade of the individual assignment (delivered before the end of the semester). A score of 5.0 is required for both the final exam and the assignment.

• Face-to-face
• Use of ICT in teaching
• Use of ICT when communicating with students.
• Learning process through an electronic platform.

https://eclass.uop.gr/courses/2627/ 

🔵 🔴 🟡 Course Textbooks [Eudoxus]

• Book [94701659]: THE TECHNIQUE OF ANALOG AND DIGITAL PHOTOGRAPHY, Anastasios Schizas
• Book [68374176]: Digital Image Processing, Anagnostopoulos Christos Nikolaos

Extra Bibliography

• PAPAMARKOS NIKOLAOS, DIGITAL IMAGE PROCESSING AND ANALYSIS, PAPAMARKOU BROS O.E., 2013
• Maître, Henri. From photon to pixel: the digital camera handbook. John Wiley & Sons, 2017
• Chung, Bryan WC. Pro Processing for Images and Computer Vision with OpenCV: Solutions for Media Artists and Creative Coders. Apress, 2017.
• Gonzales, Stefanos Kollias (editor), Digital Image Processing, 4th Edition, A. TZIOLAS & SONS S.A., 2018
• Furht, Borko, Esad Akar, and Whitney Angelica Andrews. Digital Image Processing: Practical Approach. Springer International, 2018.
• Singh, Himanshu. Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python. Apress, 2019.
• Anastasios Schizas, THE TECHNIQUE OF ANALOG AND DIGITAL PHOTOGRAPHY, ANASTASIOS SCHIZAS, 2020
• Kovalevsky, Vladimir. Modern Algorithms for Image Processing: Computer Imagery by Example Using C. Apress, 2019.
• Nagar, Sandeep. "Introduction to Octave." Introduction to Octave. Apress, Berkeley, CA, 2018. 1-16.
• Camastra, F., and A. Vinciarelli. Machine learning for audio, image and video analysis: theory and applications. Springer, 2015.
• Wöhler, Christian. 3D computer vision: efficient methods and applications. Springer Science & Business Media, 2012.
• Smith, Jan, Roman Joost, and Alexandre Prokoudine. GIMP for Absolute Beginners. Berkeley, CA: Apress, 2012.
• Van Gumster, Jason, and Robert Shimonski. Gimp Bible. Vol. 616. John Wiley and Sons, 2011.
• Furht, Borivoje, ed. Handbook of multimedia for digital entertainment and arts. Springer, 2009.