Image Encoding

Image encoding is the process of converting raw image data into a compressed digital format for efficient storage, transmission, and processing. It involves techniques like compression algorithms (lossy or lossless) and encoding standards to reduce file size while maintaining visual quality. This is fundamental in digital imaging, web development, and multimedia applications.

Also known as: Image Compression, Image Formatting, Image Codec, Image File Encoding, Img Encoding

Why learn Image Encoding?

Developers should learn image encoding to optimize web performance by reducing image file sizes, which speeds up page loading and saves bandwidth. It's essential for handling user-generated content, creating responsive designs, and ensuring compatibility across devices and platforms. Use cases include web development, mobile app design, and digital media processing.

Learning Resources

• docs: MDN Web Docs: Image file type and format guide
• tutorial: Google Developers: Optimize Images
• course: Coursera: Image and Video Processing
• video: YouTube: Image Compression Explained
• book: Book: 'Digital Image Processing' by Gonzalez and Woods