The provided text offers a comprehensive overview of digital imaging fundamentals, beginning with the pixel as the foundational unit of all digital images, explaining its nature, organization in raster graphics, and concepts like resolution and density (PPI vs. DPI). It then details various color models, including the additive RGB for displays, the subtractive CMYK for printing, the intuitive HSV/HSB for user interfaces, and grayscale for intensity-only representation. The sources also illuminate the complex journey of an image, from camera sensors employing Bayer filters and demosaicing to screen displays using LCD and OLED technologies with subpixels, and finally, how images are preserved through lossy (JPEG) and lossless (PNG, GIF) compression. Lastly, the text explores advanced applications where digital imaging principles are used to visualize unseen data in fields like medical imaging (pseudocolor), remote sensing (false-color imagery), and computer vision (grayscale processing).

Please check the source here: https://tinyurl.com/SM-S1E2