is it a formatting step that an image goes through when uploaded? I’m tired of converting image after image back into jpg, so if there’s like a step I can take to avoid it being a webp, it would help to know
is it a formatting step that an image goes through when uploaded? I’m tired of converting image after image back into jpg, so if there’s like a step I can take to avoid it being a webp, it would help to know
WebP is a tiny bit better on small images and slightly worse overal than JPEG, when using a good encoder library (mozjpeg). It is better than standard libjpeg but that’s not really a fault of the format as much as of the specific encoder.
JPEG compression is standardized. The only part of the algorithm that is configurable is the quantization matrix which is essentially a control of what information to throw away and how much. So unless you are throwing away a huge amount of information (really shitty image), there is no way a different library will somehow save you a bunch of space.
That is exactly what’s happening :) better quantization matrix results in 25% smaller files with the same perception-based q which makes webp kinda useless often https://siipo.la/blog/is-webp-really-better-than-jpeg
Try jpeg-xl though. it’s amazing.
Mozjpeg performs 2 tricks to improve compression:
It depends a lot on what’s being encoded, which is also why different people (who’ve actually tested it with some sample images) give slightly different answers. On “average” photos, there’s broadly agreement that WebP and MozJpeg are close. Some will say WebP is a little better, some will say they’re even, some will say MozJpeg is still a little better. Seems to mostly come down to the samples tested, what metric is used for performance, etc.
I (re)compress a lot of digital art, and WebP does really well most of the time there. Its compression artifacts are (subjectively) less perceptible at the level of quality I compress at (fairly high quality settings), and it can typically achieve slightly-moderately better compression than MozJpeg in doing so as well. Based on my results, it seems to come down to being able to optimize for low-complexity areas of the image much more efficiently, such as a flatly/ evenly shaded area (which doesn’t happen in a photo).
One thing WebP really struggles with by comparison is the opposite: grainy or noisy images, which I believe is a big factor in why different sets of images seems to produce different results favoring either WebP or JPEG. Take this (PNG) digital artwork as an extreme example: https://www.pixiv.net/en/artworks/111638638
This image has had a lot of grain added to it, and so both encoders end up with a much higher file size than typical for digital artwork at this resolution. But if I put a light denoiser on there to reduce the grain, look at how the two encoders scale:
Subjectively I have a preference for the visual tradeoffs on the WebP version of this image. I think the minor loss of details (e.g., in her eyes) is less noticeable than the JPEG version’s worse preservation of the grain and more obvious “JPEG compression” artifacts around the edges of things (e.g., the strand of hair on her cheek).
And you might say “fair enough it’s the bigger image”, but now let’s take more typical digital art that hasn’t been doused in artificial grain (and was uploaded as a PNG): https://www.pixiv.net/en/artworks/112049434
Subjectively I once again prefer the tradeoffs made by WebP. Its most obvious downside in this sample is
on the small red-tinted particles coming off of the sparkler being less defined,[see second edit notes] probably the slightly blockier background gradient, but I find this to be less problematic than e.g., the fuzz around all of the shooting star trails… and all of the aforementioned particles.Across dozens of digital art samples I tested on, this paradigm of “WebP outperforms for non-grainy images, but does comparable or worse for grainy images” has held up. So yeah, depends on what you’re trying to compress! I imagine grain/noise and image complexity would scale in a similar way for photos, hence some of (much of?) the variance in people’s results when comparing the two formats with photos.
Edit: just to showcase the other end of the spectrum, namely no-grain, low complexity images, here’s a good example that isn’t so undetailed that it might feel contrived (the lines are still using textured [digital] brushes): https://www.pixiv.net/en/artworks/112404351
I quite strongly prefer the WebP version here, even though the JPEG is 39% larger!
Edit2: I’ve corrected the example with the sparkler - I wrote the crossed out section from memory from when I did this comparison for my own purposes, but when I was doing that I was also testing MozJpeg without chroma subsampling (4:4:4 - better color detail). With chroma subsampling set to 4:2:0, improved definition of the sparkler particles doesn’t really apply anymore and is certainly no longer the “most obvious” difference to the WebP image!
Awesome write up!
You are like an evil genius? Can you make your own posts about image recompression and how I can get in on this special interest?
Hahaha, I think you’re giving me a bit too much credit - I was just curious enough to run some tests on my own, then share the results when I saw a relevant post about it!
My interest in image compression is only casual, so I lack both breadth and depth of knowledge. The only “sub-field” where I might quality as almost an actual expert is in exactly what I posted about - image compression for sharing digital art online. For anything else (compressing photos, compressing for the purpose of storage, etc) I don’t really know enough to give recommendations or the same level of insight!
Edit: fixed typo and clarified a point.
You must be talking about a kind of jpg I haven’t heard of then
It’s the exact same JPEG format, just using a better encoder that “improves JPEG compression efficiency achieving higher visual quality and smaller file sizes at the same time”.
Wow. I didn’t know this. Are there GUIs to convert images with mozjpeg?
There’s RIOT https://riot-optimizer.com/