Chaining operations without losing quality

[igorescobar]

Hi 👋 ,

Sometimes you need to do operations on images that you need to do a .toBuffer() so the next step of the image manipulation would use the output & metadata of the previous step.
The problem is that every time you do a sharp(image) the image seems to lose quality incrementally. Like

image = sharp(buffer).trim().toBuffer()
// ... some logic ...
image = sharp(image).resize().toBuffer()
// ... some logic ...
image = sharp(image).extract().toBuffer()

The code above is just an example but you can imagine that each operation might be on different files and image is like a shared context.

Is there any way you would recommend/suggest to do this without losing quality every time we sharp() the image buffer?

I read this discussion earlier: #241 and it seems that it might solve this specific problem but it seems that it's only a "concept" for now.

Let me know if I need to provide more info!

Thanks! 🙏

[lovell]

Try a lossless format such as PNG, or (faster, higher memory usage) use raw pixel data.

[lovell]

I hope this information helped. Please feel free to re-open with more details if further assistance is required.