
Explore the fundamentals of light and color, including spectral distribution, radiometry, and photometry. Learn how light interacts with objects and how it impacts imaging systems.
Understand how the human eye perceives brightness and color. Dive into the concepts of dynamic range and the development of color spaces like RGB and chromaticity diagrams.
Examine the components and processes in digital imaging systems. Learn about the transformation of scene-referred to display-referred images and the science behind accurate color rendering.
Discover the architecture of smartphone cameras, including lenses, sensors, and processing pipelines. Understand the integration of these components for optimal performance.
Learn about optical components such as apertures, focal lengths, and image stabilization mechanisms, and their impact on image sharpness and depth.
Explore the role of Bayer filters, sensor technologies like CCD and CMOS, and their effect on color capture and low-light performance.
Understand the sources of noise in smartphone cameras, such as thermal noise and shot noise. Learn about hardware and software techniques for noise mitigation.
Dive into the design and properties of smartphone camera lenses, including materials, coatings, and how they influence image clarity and distortion.
Master the digital processes that enhance and manipulate images. From fundamental transformations to advanced filtering and enhancement techniques, this module equips learners with practical tools to refine image quality and extract meaningful details.
Learn the fundamentals of digital image representation, transformation, and manipulation. Understand how images are processed to enhance quality and extract features.
Explore techniques for improving image quality, such as grayscale equalization, level adjustment, and contrast enhancement.
Master filtering techniques, including lowpass filters for noise reduction, edge detection for feature extraction, and median filters for impulse noise removal.
Understand how images and videos are efficiently stored and transmitted. This module covers compression techniques like Discrete Cosine Transform (DCT) and JPEG, alongside modern AI-driven methods for optimizing file size and quality.
Understand the mathematical foundation of image compression using DCT. Learn how it reduces data redundancy while preserving essential image details.
Study the JPEG compression standard and explore AI-driven advancements in compression to optimize image quality and storage.
Learn the principles of video compression, including frame prediction, rate-distortion optimization, and the challenges of balancing quality and bitrate.
Dive into the technologies that shape modern video formats and quality. This module explores video resolutions, HDR, quality assessment methods, and multimedia communication standards like MP4 and SMPTE ST 2110.
Explore the evolution of video standards, including resolutions like 4K and UHD. Understand how HDR and bit depth improve video quality.
Learn methods for assessing visual quality using metrics like PSNR, SSIM, and VMAF, and their applications in optimizing compression and playback.
Study multimedia file formats and streaming standards. Understand the frameworks for video communication and professional video-over-IP solutions.
Discover the transformative role of AI in image and video processing. This module highlights cutting-edge techniques for noise reduction, detail enhancement, and real-time optimizations, positioning learners at the forefront of AI-driven imaging innovations.
Discover how AI is transforming imaging systems. Explore applications in noise reduction, detail enhancement, real-time color correction, and advanced features like Night Sight and Video Boost.