Depth maps that will enable you to apply effects to the foreground or background of the image.Progressive decoding to load images gradually allows users to get a reasonable preview of the image before it gets refined.It should support High dynamic range(HDR) imaging and wide color gamut.(e.g., PNG images with transparent backgrounds) Alpha Transparency: The ability to create images with different opacity levels using the alpha channel.However, you should ideally replace such images with videos. Animation support may be required for some images on the web (e.g., GIF).Software support: An image format may perform very well but is useless if browsers, CDN’s and other image manipulation tools do not recognize it.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.
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