As i understand, in your highpass method, you are generating a highpass filtered image and adding it to the original image by overlaying it. So you are boosting the high frequencies in the original image rather than damping the low frequencies. If i look at the mathematical formula of unsharp masking, it is the same algorithm: Creating a highpass filtered image and adding it to the original by some amount. So in essence, you have just compared two sharpend images which use the same method, but different parameters.
On the comparison with the model, you gave the win to high pass I think because of the model's face becoming a little too sharp but you didn't adjust the threshold slider on the unsharp mass which would have effectively blocked some of the sharpening on the face while allowing it on the finer details. I was curious about why you didn't adjust the threshold slider on USM. Is there a reason you tend to stay away from it because of other things it creates?
Hi Philip! No concrete answer on that one- it is just from experience. Over time, I've had better results on different techniques - but it always comes down to the image. Sometimes one just works better than the other. Its a very in-exact science. At least that's how it is for me. :)
...but did you realise at 12:10 you labelled the HighPass photo "Unsharp mask" and the Unsharp mask photo "High Pass". Bit of a mistake methinks as it makes the video wrong. However, I guess the point you made is that there is actually little to be gained either way - just personal preference. I do find smart sharpen useful if you don't want to pick the skin out - but again - you can always mask it anyway.
Hey Roland- thanks for pointing that out...I must have missed that one. But you are correct- it kind of proves the point that the results are so similar. And great point on the masks- because you rarely need the same level of sharpening on ALL the parts of the image.
As i understand, in your highpass method, you are generating a highpass filtered image and adding it to the original image by overlaying it. So you are boosting the high frequencies in the original image rather than damping the low frequencies.
If i look at the mathematical formula of unsharp masking, it is the same algorithm: Creating a highpass filtered image and adding it to the original by some amount.
So in essence, you have just compared two sharpend images which use the same method, but different parameters.
Down and dirty for real estate. I use the sharpen feature with option masking and/or texture.
Can't go wrong with that method!
Thank you
On the comparison with the model, you gave the win to high pass I think because of the model's face becoming a little too sharp but you didn't adjust the threshold slider on the unsharp mass which would have effectively blocked some of the sharpening on the face while allowing it on the finer details. I was curious about why you didn't adjust the threshold slider on USM. Is there a reason you tend to stay away from it because of other things it creates?
Hi Philip! No concrete answer on that one- it is just from experience. Over time, I've had better results on different techniques - but it always comes down to the image. Sometimes one just works better than the other. Its a very in-exact science. At least that's how it is for me. :)
Excellent Video! Both methods work very well, got to be careful not to become too critical of results.
Very true! Always going to have trade-offs when you are fixing things.
...but did you realise at 12:10 you labelled the HighPass photo "Unsharp mask" and the Unsharp mask photo "High Pass". Bit of a mistake methinks as it makes the video wrong. However, I guess the point you made is that there is actually little to be gained either way - just personal preference. I do find smart sharpen useful if you don't want to pick the skin out - but again - you can always mask it anyway.
Hey Roland- thanks for pointing that out...I must have missed that one. But you are correct- it kind of proves the point that the results are so similar. And great point on the masks- because you rarely need the same level of sharpening on ALL the parts of the image.