👉 JPEG computing, or JPEG processing, is a sophisticated digital image compression technique that reduces the size of images while maintaining acceptable visual quality. It operates in several stages: first, the image is divided into 8x8 pixel blocks, and each block undergoes a process called Discrete Cosine Transform (DCT), which converts the spatial domain data into frequency domain coefficients. These coefficients are then quantized, where less significant frequencies are rounded off more aggressively to reduce data, and some coefficients are discarded entirely to achieve compression. The quantized coefficients are then encoded using Huffman coding, a lossy compression algorithm that assigns shorter codes to more frequent values, further reducing file size. Finally, the encoded data is transmitted or stored. This method strikes a balance between compression efficiency and image quality, making JPEG the most widely used image format for web images, printed materials, and digital photography.
