Discussion on "The Complete Guide to Image Compression with OpenCV"

Jeremy Morgan · 2024-08-20T04:39:02.034Z

Image compression is a critical technology in computer vision that allows us to store and transmit images more efficiently while maintaining visual quality. Ideally, we’d love to have small files with the best quality. However, we must make the trade...

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Is impressive what we can do with OpenCV, time to go back to some project i did with Android Studio.

Does image file compression affect different size images (or ratios) differently? For example, the difference in clarity between the small images and the large backgrounds on sites. And is AVIF any good?

Yes John Personally I face this issue when I compress image the pixels not clear.

yes, image file compression works different based on the image size (resolution). It works on a (somewhat) logarithmic scale. Meaning if you take a really low res image (320x240) and reduce the size by 20%, it will look like garbage. Maybe even unusable. If you reduce a 3840x2160 image by 20%, it may not even be noticeable.

In general the more pixels you have to work with, the more optimization you can do before the human eye notices it. In most cases.

i can see various use cases for webapps, such as a chrome extension that can convert the image to webp and reduce the image size

I'm sure you could build some sort of lambda or other serverless function with OpenCV that could do this fairly easily.

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The Complete Guide to Image Compression with OpenCV

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