0Testando novas ferramentas de compressão de imagem

Estou usando o otimizador de imagem EWWW para comprimir toda a minha JPEG e PNG imagens neste site para vários anos. EWWW makes use of OptiPng and PngOut and whilst these are power­ful tools there are altern­at­ives out there now that I wanted to test and compare.

I have already seen some com­par­is­ons show­ing some impress­ive per­form­ance by some oth­er formats but I wanted to test this for myself with my real­world images. Based on the claims presen­ted I decided to start with Pingo and see how much it reduced the size of my total image library.

Tem 3549 imagens que são uma mistura de PNGs, JPEGs, and Webp files and range in size from over 1000×1000 pixels to small thumb­nails of 60×60 pixels.

Sem perdas

3505 images were pro­cessed in 434 seconds which is impress­ively quick com­pared to the pre­vi­ous tools I’ve used. Entretanto, única 3455kb (3.37mb) foi salvo que é um 2.5% poupança.

Des­pite the lack of reduc­tion, I will still be look­ing to migrate to pingo as it is vastly faster than the tools used by EWWW and achieves effect­ively the same result

Com perdas

Lossy com­pres­sion was much more impress­ive in size reduc­tion with a 22.6Mb (19%) reduc­tion but this is to be expec­ted as my pre­vi­ous tools were not using lossy com­pres­sion. I had decided in advance that a sig­ni­fic­ant reduc­tion would be needed for me to con­sider using lossy com­pres­sion. This reduc­tion is right on the bor­der­line. The ulti­mate decision comes down to how much the smal­ler dimen­sion (mais frequentemente servido) images saved — the major­ity of the sav­ings were with ori­gin­al images not with the smal­ler images so I’m not per­suaded that the reduc­tion is worth­while at this point, espe­cially as I already serve webp images to over 50% of vis­it­ors and these gained the least

The next step is to fig­ure out how to auto­mate the pro­cess with pingo which isn’t sup­por­ted by EWWW.

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