Where do you recommend getting "standard" images for testing algorithms?
Research communities don't &quot;trust&quot;; they take a set of data and consider its properties (sample size, representativity, quality, systematic biases...) and then pick that. There's no &quot;universally trusted&quot; thing, as a dataset that's perfect for one purpose might be very wrong for another.
So, you'll have to work this from the other side up: pick a set of images that well represent what you want to do! Is it improving the quality of compressed photographs of cattle? Different dataset then you'd use to assess a denoising algorithm for architectural photography!
If you want to do that works on most photographic content, for example, you'd probably end up using the same dataset as the JPEG used to develop their compression standards (of the same name); not only has that been proven to actually be a useful set, but also it allows a fair comparison to established methods that use the same.