Image compression algorithms are the cornerstone of efficient image storage and transmission, enabling us to store and share high-quality images without consuming excessive... moreImage compression algorithms are the cornerstone of efficient image storage and transmission, enabling us to store and share high-quality images without consuming excessive storage space or bandwidth. These algorithms employ various mathematical and statistical techniques to reduce the file size of images while preserving their visual quality to varying degrees.
Lossless Compression Techniques:
Lossless compression algorithms, such as PNG and GIF, achieve file size reduction without sacrificing any image data. They employ techniques like run-length encoding (RLE) and Huffman coding to identify and represent repetitive patterns within the image more efficiently.
Lossy Compression Techniques:
Lossy compression algorithms, such as JPEG and WebP, prioritize smaller file sizes by discarding some image data, leading to a slight loss of quality. They employ techniques like quantization and discrete cosine transform (DCT) to selectively reduce the precision of image data.
Balancing Quality and File Size:
The... less