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DarkRoseofHell said: Web server one is even more lawlsy than the one used in either koroshell or caffe.
If you are talking about your https://dl.dropboxusercontent.com/u/35156/test/tooikirameki_Page_01.jpg image, the webserver doesn't seem to support CMYK jpegs (inversed colors). The tanakamura & caffe versions also don't seem to support proper CMYK->RGB conversion either (over saturated), so you would really need to re-save it as a RGB image first in Photoshop before filtering: http://i.imgbox.com/PKA0iPCL.png
Even so, that image does show how waifu2x denoising is less than perfect and can still get confused when jpeg artifacts are intense enough. It does a decent job, but there is a lot of low-medium frequency residual which would need to be cleaned up in some other way afterwords: http://i.imgbox.com/90icit2D.png
Fooling around a bit, if you do 3-passes of waifu2x high denoising + some manual patching + history brush, you'll end up with something decent given the source: http://i.imgbox.com/0Wm8Rh6t.png
If you spent even more time on history brush you could probably make it look even better, but *effort*. Definitely not a one-stop-shop for general image denoising, but it does seem useful in certain cases.
DarkRoseofHell said: Just going to note that CUDA isn't any actual routine or algorithm, it's a framework used for gpu accelerated processing.
I wasn't referring to the CUDA framework, but rather the CUDA kernel (i.e. the GPGPU code itself). I originally thought that since the waifu2x docs stated CUDA+Torch7 as a requirement, it could have been using a higher quality filtering routine on the GPU than the CPU for speed reasons or performing some kind of CPU+GPU hybrid processing, but that didn't end up being the case. In reality, Waifux2 was designed for byte identical output between GPU & CPU-only processing. Not always the case when dealing with GPGPU, but I'm happy it is.
Cyberbeing
Even so, that image does show how waifu2x denoising is less than perfect and can still get confused when jpeg artifacts are intense enough. It does a decent job, but there is a lot of low-medium frequency residual which would need to be cleaned up in some other way afterwords: http://i.imgbox.com/90icit2D.png
Fooling around a bit, if you do 3-passes of waifu2x high denoising + some manual patching + history brush, you'll end up with something decent given the source: http://i.imgbox.com/0Wm8Rh6t.png
If you spent even more time on history brush you could probably make it look even better, but *effort*. Definitely not a one-stop-shop for general image denoising, but it does seem useful in certain cases.
I wasn't referring to the CUDA framework, but rather the CUDA kernel (i.e. the GPGPU code itself). I originally thought that since the waifu2x docs stated CUDA+Torch7 as a requirement, it could have been using a higher quality filtering routine on the GPU than the CPU for speed reasons or performing some kind of CPU+GPU hybrid processing, but that didn't end up being the case. In reality, Waifux2 was designed for byte identical output between GPU & CPU-only processing. Not always the case when dealing with GPGPU, but I'm happy it is.