課程大綱

課程資訊
學年期 Semester	1142	課程代碼 Course Code	CI5233701
課程名稱 Course Title	電子影像傳輸與互動 Electronic Image Communication and Interaction
學分數 Credits	3	選必修 Required/Elective	選修 /半學年
上課時間教室 Time/Location	M2(TR-610) M3(TR-610) M4(TR-610)
先修課程 Prerequisite(s)
授課教師 Lecturer	溫照華 Chao-Hua Wen
專業核心能力 Core Professional Competencies	(1) 搜尋與分析相關研究領域專業知識之能力 (2) 終身自我學習成長之能力

以下課程內容資料由授課教師提供
課程相關網址 Course Website	http://
課程宗旨 Objective of The Course	Students will have a thorough knowledge and understanding of how to investigate the problem of Imaging Communications and Interactions, including color space and quantization, image compression, image security, image quality, pixel rendering, and dynamic display resolution. This module brings together the broad array of Arduino color imaging platforms, colorimetry, human vision and image processing for students buildup in practical skills of this field.
課程大綱 Outline of Lectures	(1)成像基礎理論：顯示硬體、超媒體和通訊技術；(2)色彩空間：設備依賴性、伽瑪校正和 RGB 標準；(3)Arduino彩色成像處理平台；(4)色彩量化演算法；(5)色彩科學的Python語言; (6)數位半色調；(7)人機互動介面：空間與時間視覺、影像品質模型；(8)影像安全：密碼學、數位簽章、浮水印和隱寫術；(9)數位典藏及通訊系統；(10)生成式AI的自然語言處理；(11)顯示訊號處理：靜態/動態顯示解析度(子像素渲染、動畫殘影減少) (1) Electronin imaging infrastructure: display hardware, Meta-media and communications technology; (2) Color spaces: device dependency, gamma correction and RGB standards; (3) Arduino color imaging platforms; (4) Color quantization: uniform, popularity and median-cut algorithms; performance evaluation; error diffusion; (5) Colour Science for Python; (6) Digital halftoning: comparison with conventional halftoning, e.g., clustered-dot, dispersed-dot, screen angles etc.; (7) Human-Computer Interactions: spatial and temporal vision, image quality model; (8) Image security: cryptography, digital signatures, watermarks and steganography; (9) Digital archive and communication system; (10) Natual Language Processing in Generative AI; (11) Display signal processing: Static/dynamic display resolution (sub-pixel rendering; motion artifact reduction).
教科書 Textbook	[1] Multimedia foundations : core concepts for digital design, Vic Costello, 3 rd ed, Focal Press, 2024. [2] Machine Learning in Multimedia: Unlocking the Power of Visual and Auditory Intelligence, edited by Suman Kumar Swarnkar, Annu Sharma, J. Somasekar, and Bharat Bhushan, CRC Press, 2025
參考書目 References	[1] Computer Graphics: Principles and Practice, Foley, van Dam, Feiner and Hughes, 2nd ed, Addison-Wesley, 1995. [2] Digital Image Processing, R.C.Gonzalez and R.E Woods, 2nd, Prentice Hall, 2002. [3] Digital Halftoning, R. Ulichney, MIT Press, 1987. [4] Hands-on ESP32 with Arduino IDE: Unleash the power of IoT with ESP32 and build exciting projects with this practical guide, Asim Zulfiqar, Packt Publishing, 2024.
修課學生須知 Notice of course enrollment	It is recommended that student has the background knowledge of Physics and the basic skills for computer language programming.
評量方式 Grading	1. Assignment (40 %) (1) Two practical experiments, require a computer with Google colab and Arduino IDE (2) One paper study 2. Term project, Individually or in groups(60 %) (1) Project approval required before middle-term (2) Oral presentation of projects
備註說明 Note	Finding a Volunteer TA from within the course.