Explore other optimisation methods

We’ve covered only the most intriguing and efficient ways of optimising images using nextgen technologies, which are yet to be adopted by the wider public. However, there are other projects for doing exactly the same that have been around for longer, but often under perform when compared to the solutions mentioned here. Still, you should try Jpegoptim ( www.github.com/tjko/jpegoptim), which slims down JPEG files by optimising Huffman’s algorithm (used to make JPEG the compact files they are). Optimising the Huffman table is a lossless process that doesn’t affect image quality.

For less tech-savvy users there are certain tools that automatically re-encode JPEG files using the lowest acceptable quality ratio while trying to maintain good visual quality. There’s a special Github project for a set of such tools at www.github.com/danielgtaylor/jpeg-archive. Jpeg-recompress does a pretty good job in making your files much smaller without too much compromise in quality – it only makes use of what a JPEG is already capable for. Of course, we assume that making your images a bit more ‘lossy’ is acceptable, given the fact that most people rarely need the tremendous resolution that modern imaging devices produce by default.