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1 Courses

Advanced Camera Systems and AI-Driven Imaging
Multimedia
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Multimedia

Advanced Camera Systems and AI-Driven Imaging

Course Description:

This course explores the theoretical foundations of modern imaging systems and smartphone camera technologies. Delivered entirely through slides and voice presentations by an expert trainer, the program offers an in-depth understanding of color science, image processing, video compression, and camera design. Participants will gain the conceptual knowledge necessary to navigate the rapidly evolving field of imaging and smartphone camera technologies.

Learning Outcomes:

  1. Understand the principles of color science and human visual perception.
  2. Gain insights into the design and functionality of smartphone camera systems.
  3. Learn the fundamentals of digital image and video processing, including compression techniques.
  4. Explore methodologies for assessing image and video quality.
  5. Examine the role of AI in advancing imaging and camera technologies.

Modules:

  1. Color Science and Human Visual Perception:

    • Fundamentals of light, color, and the electromagnetic spectrum.
    • Overview of the human visual system (HVS) and color spaces.
    • Chromaticity diagrams and dynamic range in imaging.
  2. Digital Image and Video Processing:

    • Key concepts of image enhancement, filtering, and signal analysis.
    • Compression techniques: JPEG and AI-enhanced compression.
    • Basics of motion video coding and transformation.
  3. Smartphone Camera Systems:

    • Design and components of smartphone cameras.
    • Optical systems: lenses, filters, and stabilization mechanisms.
    • Sensor technologies: CMOS vs. CCD.
  4. Video Resolution and Quality Assessment:

    • Video resolution, formats, and dynamic range optimization.
    • Quality metrics: PSNR, SSIM, and VMAF.
    • Industry standards and assessment techniques.
  5. AI in Imaging and Video Processing:

    • Applications of AI in image enhancement and feature extraction.
    • Emerging trends in AI-powered imaging solutions.
  6. Smartphone Camera Innovations:

    • Advances in noise reduction and sensor technologies.
    • Exploration of multi-camera systems and their performance metrics.
    • Future trends in smartphone imaging and optics.

Prerequisites:

  • No hands-on experience is required.
  • A general understanding of imaging systems or interest in smartphone camera technologies is beneficial.

Target Audience:

  • Professionals in imaging and camera engineering.
  • Media specialists and AI developers in visual technologies.
  • Anyone interested in theoretical insights into smartphone cameras.

Teaching Methodology:

  • Slides Presentation: Detailed visual aids to explain complex topics.
  • Voice Narration: Expert-led explanations of concepts.
  • Q&A Sessions: Interactive discussions to address participant queries.

Target Industries:

  • Smartphone and Camera Manufacturing
  • Media and Entertainment
  • Artificial Intelligence in Imaging
  • Optics and Visual Systems

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