Rongnongno wrote:
Either your image is in focus or it is not. Any sharpening will not add or improve anything at all.
Set ACR default sharpening to 0. Leave the color alone.
Use ACR clarity in small dose...
Open the image.
Duplicate the background
Transform onto a smart object
Set Blend mode to Luminosity
Push the clarity way up (about 50)
Decrease Saturation to 0.
If needed use a level layer.
That alone will create the sharpness you crave.
Jacque,
“Raw needs no sharpening?”
Sorry, Jacque, I have to dispute you on this one.
Unless you are happy with full-frame prints no larger than 8x10, it pays to realize that ANY AND EVERY image captured on a pixelated sensor benefits from some degree of sharpening!
Every photosite (pixel) delivers an average of the tones that fell within its purview.
There will always be a degree of enlargement when “softness” becomes apparent. With some sharpening, it then takes more enlargement to get to that noticeably “soft” point.
Sharpening is merely the process of enhancing, very locally, the inadequate contrast of an incipient detail edge; so, sharpening itself is but a subtle illusion.
Your formulaic approach to “...the softness you crave...” by using increased “Clarity” simply increases mid-tonal contrast , a classic “false sharpening” approach that merely increases contrast by reducing the mid-range tonal spectrum to give the cheap, coarse illusion of sharpening. The only sharpening worth the effort is that which emphasizes edge accentuation or deconvolutional aggregation of detail data points within the environment of the otherwise intact local tonal spectrum.
The number of pixels affected on both sides of the sharpened line (“Radius”), the contrast of the dark and bright halos on opposed sides of the sharpened line (“Detail”), and the degree to which sharpening is global or limited to only the strongest edges (“Masking”), and the degree of strength of each of the first three (“Amount”) are the sharpening controls of Adobe Camera Raw. One would do well to learn their independent effects and how to use them in concert. “Smart Sharpen” and “Shake Repair” are the deconvolutional sharpeners it pays to learn as well.
The classic work on the topic is “Image Sharpening with Adobe Photoshop, Camera Raw, and Lightroom” (second ed.) written in 2010 by Bruce Fraser and Jeff Schewe.
Sensor megapixels have increased, and the sharpening algorithms for edge sharpening and deconvolutional sharpening have improved, but the basic principles of sharpening digital images have not changed since Fraser and Schewe wrote their book.
Schewe’s more recent books also treat the subject well.
Dave