Image compression involves countless trade-offs between quality, size, and speed. In this final part of the series, we experiment with codecs, metrics, and tools to find practical ways to balance efficiency and visual fidelity.

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A practical guide to image compression that explores trade-offs between quality, file size, and encoding speed. Through hands-on experiments comparing JPEG and AVIF codecs, the article demonstrates how to evaluate compression methods using metrics like SSIM and neural networks. It covers codec parameters, quality assessment challenges, and provides actionable recommendations including using MozJPEG, serving multiple formats with the picture element, implementing lazy loading, and leveraging cloud-based image processing services.

Image formats: Codecs and compression tools