I'll start off with commenting on the HighPass hiqh frequency method:
I wanted to see for myself what the theoretical "faults" of this method looked like in the real world. The original image is an 8-bit 1,200px by 1,000px JPG and I used a radius of 8px for both the HighPass and the blurred low frequency images. The samples below are screen captures at 1,600% of the same area.
The original image:
original detail.jpg
The HighPass high frequency method:
HF HighPass detail.jpg
As expected, the HighPass method loses the highest highlight values; but you can see that it also loses the lowest low values, too.
I'd rather not lose that image info -- the highest highlights help define the spherical shape of the eye, and the lowest low values add depth to the image.
One of the advantages mentioned for the HighPass method is that it's much quicker to implement than the "standard" Frequency Separation method. This is true if one is creating the "standard" Frequency Separation layers manually in PhotoShop, but since both the PL methods are actions, there is no time penalty for using them.
Another advantage mentioned for the HighPass method is that the loss of the highest highlights can be desired if the original image is too "contrasty". Maybe so, but there are better ways of correcting overly bright highlights.
So, I'm rejecting the HighPass high frequency method for my use -- I want to retain the complexity of the highlights and shadowed areas as much as possible.
You do not have the required permissions to view the files attached to this post.