Skip to main content

⚠️ Please note that this topic or post has been archived. The information contained here may no longer be accurate or up-to-date. ⚠️

Sharpening in C1

Comments

10 comments

  • Ian Wilson
    Moderator
    Top Commenter
    There is no "high pass filter" feature in Capture One.

    Also for blurring background, there is nothing like Gaussian blur. The nearest you can get is to select the background areas you want and reduce sharpening and reduce structure.

    Ian
    0
  • Adam Kielcz
    Thank you!
    Very limited possibilities then.
    0
  • Ian Wilson
    Moderator
    Top Commenter
    I believe that is similar to other raw converters. I think in Lightroom too, if you want to use a high pass filter you’d have to export to Photoshop.

    Ian
    0
  • Class A
    [quote="Ian3" wrote:
    The nearest you can get is to select the background areas you want and reduce sharpening and reduce structure.

    Reducing "Clarity" can also be an option sometimes.
    0
  • cdc
    [quote="Adam172" wrote:
    Thank you!
    Very limited possibilities then.


    And if you expected photoshop to do tethered capture you would find limited possibilities there as well.
    They are not alternatives for one another.
    0
  • Adam Kielcz
    I guess you're right. No app can do it all.
    Thank you!
    0
  • Keith Reeder
    [quote="Ian3" wrote:
    I believe that is similar to other raw converters. I think in Lightroom too, if you want to use a high pass filter you’d have to export to Photoshop.

    But Lightroom does provide a fantastic deconvolution sharpening ability - and of course, the excellent sharpening mask function, both really useful tools sorely lacking from Capture One...
    0
  • Paul Steunebrink
    [quote="Keith Reeder" wrote:
    But Lightroom does provide a fantastic deconvolution sharpening ability - and of course, the excellent sharpening mask function, both really useful tools sorely lacking from Capture One...

    What about the Diffraction Correction in Capture One's Lens Correction tool. How does it compare to deconvolution sharpening in Lr in your opinion?
    0
  • Keith Reeder
    It's OK, but significantly limited in comparison, Paul - it might be based on deconvolution, but it has a different purpose than the Lr deconvolution option; and is something of a one-trick pony, intended primarily to correct for a lack of sharpness in the lens caused by small apertures.

    Crucially, it has an overall effect on the image.

    The great thing about Lr deconvolution - used in conjunction with the sharpening mask - is that it is superb at selectively extracting fine detail and texture (from feathers, for example - remember that I'm a bird photographer); and is infinitely variable in terms of the amount of sharpening and detail extraction it can provide; and the targeting of its effect.

    I should also point out that I never shoot at diffraction-limited apertures - I'm a natural light photographer, and I use lenses which are very sharp wide open. So the Capture One solution doesn't solve anything for me, whereas I can always benefit from targeted sharpening where I want it.

    And by way of further disclosure, it is a long time since I used Capture One as my primary converter (sick of wrestling with its fluorescent colours); and I no longer use LightRoom at all. Image quality is my absolute priority, so Photo Ninja is my go-to converter. It's so good at rendering detail at the demosaicing stage that I often turn sharpening off (note that it has behind-the-scenes edge-aware sharpness masking should I use the sharpening tool), and apply such selective sharpening as I need with Topaz Detail running as a plug-in to my pixel editor of choice.

    But the fact still remains that Lr compares very favourably with Capture One in terms of the range and effectiveness of its sharpening capabilities, and I like to see balance in such discussions...
    0
  • Paul Steunebrink
    Thanks for your balance overview, and yes, I recall that you are birds photography. 😉
    0

Post is closed for comments.