Specific use cases may require image formats that support other features like: A complex decoding process can slow down the rendering of images.ĭegree of compression, image quality, and decoding speed are key factors to be considered when comparing image performance for the web. While encoding may be one-time in the case of static images, the browser still has to decode images before rendering them. ![]() This can be complicated by whether encoding is being done ahead of time (static/build) or on-the-fly (on-demand). You may use tools like DSSIM or ssimulacra to measure the structural similarity between images and judge if the loss in quality is acceptable.Ĭomplex compression algorithms may require higher processing power to encode/decode images. Compression formats that result in some loss of image data, thereby reducing the quality of the image, are known as lossy. Ideally, compression should not result in any loss of image data it should be lossless. Smaller file size directly impacts the Largest contentful Paint (LCP) metric for the page as image resources needed by the page get loaded faster. Compression achieved is relevant because the higher the compression, the smaller the file size, and the lower the data required to transfer the image on the network. The efficiency of a codec can be mainly measured by how much compression it can achieve. You can evaluate which image format is suitable for you based on different parameters. An image codec represents the algorithm used to compress and encode images to a specific file type and decode them for display on the screen. The essential difference between image formats is that the image codec used to encode or decode each image type is different. We have a reasonably wide selection of image formats to choose from when rendering images on the web. auto-format and quality) can serve the best image. This implementation is considerably simplified when using image CDN’s where the Accept Header and content negotiation (e.g. Progressive enhancement via lets the browser choose the first supported format in the order of preference.If both AVIF and WebP are not viable options, consider evaluating MozJPEG (optimize JPEG images), OxiPNG (non-photographic images), or JPEG 2000 (lossy or lossless photographic images). ![]() Compression savings from WebP may be lower than JPEG for high-fidelity lossy compression.
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