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LabStretch2

LabStretch2 is a real-time image enhancement app, designed specifically for rock art researches to use in the field

LabStretch2 is a real-time image enhancement app, designed specifically for rock art researches to use in the field

LabStretch2

by Robert Mark
LabStretch2
LabStretch2

What is it about?

LabStretch2 is a real-time image enhancement app, designed specifically for rock art researches to use in the field. Images can be acquired from within the app, or loaded from the iPad photo library. They can then be enhanced to see very faint color differences. Unlike the iPad version, LabStretch2 uses 2 screens, Settings and Image. The image thumbnail is also a Run button.

LabStretch2

App Details

Version
1.5
Rating
NA
Size
14Mb
Genre
Photo & Video
Last updated
June 26, 2020
Release date
December 17, 2015
More info

App Store Description

LabStretch2 is a real-time image enhancement app, designed specifically for rock art researches to use in the field. Images can be acquired from within the app, or loaded from the iPad photo library. They can then be enhanced to see very faint color differences. Unlike the iPad version, LabStretch2 uses 2 screens, Settings and Image. The image thumbnail is also a Run button.

For a description of the method, please see http://www.rupestrian.com/labstretch.html

Usage Notes

1. Images are acquired by Capture Image, which takes a photo from within the app, or Import Image, which selects a photo from the camera roll. If you want to keep the image, use the camera and import the image from the camera roll.

2. Click Run. The image is downsampled and converted to Lab color space. The initial spread is applied. Try OffsetToggle to apply an estimated centering of the histogram before the multiplier (spread) is applied. Select the best toggle and then adjust the sliders. Run after each change. If the enhanced image is almost all one color, work with the offsets.

3. You can use the iPad screen capture to save results.

4. Use Save to capture the full-size enhanced to the camera roll. This requires considerable calculations and, depending upon your CPU speed, can take a minute or more.

For assistance, please contact [email protected]

Disclaimer:
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