Image converted with DxO
I have wanted to see what goes on inside the mysterious engine of DxO Optics 5.3 so I took a test image and converted it with DxO with all the corrections off, and also converted it with UFRaw
, doing my best to make them as close as possible.
In this article I am going to discuss the affect that different design elements have on PNG compression. I will look at some good and bad things to do to get a small file size when creating or editing your image. I will not look into software that optimises the compression once the image is complete.
For example: Why is this image only 2816 bytes…
And this one 4924 bytes
This is an update to the old method I showed you.
This method is faster, less complicated, and is better at dealing with edges. You still get good results, and you can see what is happening in real time.
10 July 07 – Edited step number 3 so that the whole thing works now!
Theres plenty of information around about different methods of Bayer Interpolation. Most of those examples are for images that have very little noise. I wanted to see how different methods would compare for a very noisy image. For example, one that is very underexposed, or shot at a very high ISO setting.
I have revised this technique. See the latest version here.
Here is an alternative to using the healing brush in GIMP 2.3. I think it its good because:
- It achieves good results
- It will work in GIMP 2.2
- Once you have set up the layers it is very quick to do
- My old computer, a 1GHz Athlon, has no problems with showing the brush strokes in real time.
- You have a lot more control
Read on to learn all about it.