So, this thread on texture removal using FFT / ImageJ was most helpful for a batch of images I've been working on. Though a little time consuming, making a mask of the power spectrum in Photoshop and then applying that back to the power spectrum in ImageJ, proves super awesome and better than just drawing over points in ImageJ.
Any advice or resources on using ImageJ for sharpening? I've done some reading on it, like using deconvolution processing for sharpening and am wowed by the results of examples. However, (a) it's so uber scientific for a layman like me I can't figure out how to actually apply the techniques and (b) seems only applicable to grayscale images. Best just to stay using Photoshop for sharpening? I tried the unsharp mask filter in ImageJ, I didn't care for it too much.
Original Image
Updated Image
FFT applied to remove texture
Followed by noise reduction filter Remove Outliers - Dark Pixels at radius of 4 threshold of 5 & then Bright Pixels at radius of 2 threshold of 5; with Color Balance adjusted, I think color work is best left for PS
Updated Image (yuck, a total mess)
Mean Filter & Unsharp Mask
Any advice or resources on using ImageJ for sharpening? I've done some reading on it, like using deconvolution processing for sharpening and am wowed by the results of examples. However, (a) it's so uber scientific for a layman like me I can't figure out how to actually apply the techniques and (b) seems only applicable to grayscale images. Best just to stay using Photoshop for sharpening? I tried the unsharp mask filter in ImageJ, I didn't care for it too much.
Original Image
Updated Image
FFT applied to remove texture
Followed by noise reduction filter Remove Outliers - Dark Pixels at radius of 4 threshold of 5 & then Bright Pixels at radius of 2 threshold of 5; with Color Balance adjusted, I think color work is best left for PS
Updated Image (yuck, a total mess)
Mean Filter & Unsharp Mask
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