Ugly Hedgehog - Photography Forum
Home Active Topics Newest Pictures Search Login Register
Main Photography Discussion
Tack Sharp Photos
Page 1 of 3 next> last>>
Nov 22, 2020 11:45:52   #
tca2267 Loc: Florida
 
What is the best way to view photos to tell is they are "tack sharp?'

I usually look at them in the editor at 100%....is this the "best" way to determine
if a photo is "tack sharp?"....

Reply
Nov 22, 2020 11:47:26   #
PixelStan77 Loc: Vermont/Chicago
 
tca2267 wrote:
What is the best way to view photos to tell is they are "tack sharp?'

I usually look at them in the editor at 100%....is this the "best" way to determine
if a photo is "tack sharp?"....


I check them when I take them by magnifying the image on my LCD screen.

Reply
Nov 22, 2020 11:51:57   #
RWR Loc: La Mesa, CA
 
tca2267 wrote:
What is the best way to view photos to tell is they are "tack sharp?'

I usually look at them in the editor at 100%....is this the "best" way to determine
if a photo is "tack sharp?"....

I view mine on a light box with a 20X loupe. That works out best for me.

Reply
 
 
Nov 22, 2020 11:57:19   #
DirtFarmer Loc: Escaped from the NYC area, back to MA
 
I find a sharp edge in the photo. I then take the photo and load it into a numeric array in Python using luminance values. Find the sharp edge in the photo and select a sequence of points that goes over that edge. I then take the first derivative of the numbers going across the edge which should yield a peak (could be either positive or negative). I fit the peak to a Gaussian curve to find the width of the curve. A sharp edge will have a curve with a narrow width. Tack sharp would be a width close to 1.0 (the pixel spacing).

Reply
Nov 22, 2020 12:02:46   #
CHG_CANON Loc: the Windy City
 
tca2267 wrote:
What is the best way to view photos to tell is they are "tack sharp?'

I usually look at them in the editor at 100%....is this the "best" way to determine
if a photo is "tack sharp?"....


Yes, the 1:1 (aka 1 to 1) pixel level view of the image. Also know as the 100% zoom.

Reply
Nov 22, 2020 12:06:29   #
rmalarz Loc: Tempe, Arizona
 
I couldn't think of a better way. If they look sharp at 100% what more do you need?
--Bob
tca2267 wrote:
What is the best way to view photos to tell is they are "tack sharp?'

I usually look at them in the editor at 100%....is this the "best" way to determine
if a photo is "tack sharp?"....

Reply
Nov 22, 2020 12:10:36   #
bleirer
 
Coincidence! I just viewed this video. Not exactly on topic, but related. Steve Perry secrets for sharper wildlife photos...

https://youtu.be/TLe6mXjFRdA

Reply
 
 
Nov 22, 2020 12:10:36   #
rcarol
 
DirtFarmer wrote:
I find a sharp edge in the photo. I then take the photo and load it into a numeric array in Python using luminance values. Find the sharp edge in the photo and select a sequence of points that goes over that edge. I then take the first derivative of the numbers going across the edge which should yield a peak (could be either positive or negative). I fit the peak to a Gaussian curve to find the width of the curve. A sharp edge will have a curve with a narrow width. Tack sharp would be a width close to 1.0 (the pixel spacing).
I find a sharp edge in the photo. I then take the ... (show quote)


Very clever approach to determine an indeterminate solution.

Reply
Nov 22, 2020 12:14:53   #
bleirer
 
If you use Photoshop, under the select menu there are some options, for example select focus which has a slider to select anything from extreme sharp focus to soft focus.

Reply
Nov 22, 2020 13:10:03   #
DWU2 Loc: Phoenix Arizona area
 
CHG_CANON wrote:
Yes, the 1:1 (aka 1 to 1) pixel level view of the image. Also know as the 100% zoom.



Reply
Nov 22, 2020 13:28:10   #
CHG_CANON Loc: the Windy City
 
The linked post talked about the 'how' for sharp images. The examples in the first reply show the 1:1 analysis, provided as DDL attachments.

How to obtain sharp images in digital photography

Reply
 
 
Nov 22, 2020 13:33:08   #
rmalarz Loc: Tempe, Arizona
 
I rather like that approach. But, that's the engineer side of me.
--Bob
DirtFarmer wrote:
I find a sharp edge in the photo. I then take the photo and load it into a numeric array in Python using luminance values. Find the sharp edge in the photo and select a sequence of points that goes over that edge. I then take the first derivative of the numbers going across the edge which should yield a peak (could be either positive or negative). I fit the peak to a Gaussian curve to find the width of the curve. A sharp edge will have a curve with a narrow width. Tack sharp would be a width close to 1.0 (the pixel spacing).
I find a sharp edge in the photo. I then take the ... (show quote)

Reply
Nov 22, 2020 13:35:16   #
R.G. Loc: Scotland
 
tca2267 wrote:
....I usually look at them in the editor at 100%....is this the "best" way to determine
if a photo is "tack sharp?"....


That's the best way to do sharpening and denoise because it's the best level for optimising sharpness and noise removal. Rather than thinking about whether a photo is tack sharp or not you should concentrate on optimising what you have, regardless of whether it falls into the category of "tack sharp" or not. What matters most is what it looks like at normal viewing distance, and if you've optimised it at 100% you'll know it's as good as it can be.

Reply
Nov 22, 2020 13:37:04   #
CHG_CANON Loc: the Windy City
 
Applicable to LR, PS, PSE and all software that used similar terminology:

Basics of Lightroom Sharpening

Reply
Nov 22, 2020 13:38:09   #
bleirer
 
CHG_CANON wrote:
The linked post talked about the 'how' for sharp images. The examples in the first reply show the 1:1 analysis, provided as DDL attachments.

How to obtain sharp images in digital photography


Nice presentation!

Very similar to Perry's list. Great minds.... He adds shutter speed awareness or maybe I glossed over that part of your laundry list.

Reply
Page 1 of 3 next> last>>
If you want to reply, then register here. Registration is free and your account is created instantly, so you can post right away.
Main Photography Discussion
UglyHedgehog.com - Forum
Copyright 2011-2024 Ugly Hedgehog, Inc.