Hi folks, I have many thoughts on sharpening, and high pass filtering has it's place among them - just as unsharp mask and other methods have their place in the process.
Some general links on sharpening can be found here:
http://members.ozemail.com.au/~binar...V_links.html#F
For most Photoshop users high pass filtering is a fairly new thing. Audio processing and image processing are quite similar in some ways. I was blown away the first time I played with audio low/high pass filtering (I should have chosen audio and
not prepress as a career).
Things one should look out for when sharpening with this mehod include: noise amplification, excessive edge halo width (too high high pass settings). Just some of the regular things as with USM but as you have less control with high pass you have to take more care.
The basic operation of USM is done by subtracting a blurred original from the original. The image is made sharper by removing low frequency data from the image so you can see the high frequency data. So one way to think of USM is that it removes blur so you can see the existing sharpness of the image.
On the other hand - High Pass removes low frequency data and only passes through higher frequencies (second derivative or Laplacian). When we sharpen via high pass methods we are adding existing sharpness to the image.
Both methods amplify local edge contrast - in similar but different ways. USM sharpens with built in noise suppression, then when you factor in thresholding as well there is added noise control. High Pass seeks out all the noise and edges in the image and then you add them back to the original.
There are some basic steps than can be done when high pass sharpening:
* Prefilter with deskeckle or minor g/blur before high passing (less sharp but less noisy)
* High Pass and then despeckle or minor g/blur (more sharp than above but less noisy than using no noise suppression)
* Or combine both of the above methods of pre & post smoothing using smaller amounts via fades
* Desaturate the high pass blend layer after high pass filtering
* Introduce luminosity blends to the final sharpended data (see the foot of this post)
* Introduce variable halo intensity (see the foot of this post)
* Blend modes from soft light, overlay, hard light, linear light or perhaps vivid light
* Various opacity settings
* Try smaller high pass values to start and watch for halo issues as you increase size
So if noise is a concern - then USM or other methods may be better (see below). If you don't have to worry about noise or are after a little more pop - then high pass methods might be better, although the halo is different.
Then there are other filtering methods, such as laplacian of gaussian [LoG] or band pass filtering (difference of gaussians [DoG] or difference of medians, difference of box/mean etc). High pass and other methods can also be performed via adobe or third party custom filter convolution or in some cases layer or apply image blends or layers and filterings.
http://members.ozemail.com.au/~binar...volcorner.html
The above link will take you to a Photoshop action that includes DoG and DoM sharpening which is more tolerent of noise.
Sharpening can be made as simple or complex as you like.
Perhaps my biggest tip for sharpening, either using USM or High Pass or other methods is to blend the final data using the method outlined in this article:
http://members.ozemail.com.au/~binaryfx/ST_USM1.html
Sincerely,
Stephen Marsh.