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or non-astronomical photography

Stacking Stacking or non-astronomical photography. Find

bit of this on the web and / or books so I put together this petit tutorial to see what comes out of our own experiments.

The stacking technique comes from the world of astrophotography but can be used in conventional photography, basically consists of taking "No" photos of the same scene and then combine with layers (layers) with any photo editor. Already

to pull only 1 photo and copy "n" times is not the same and that does not achieve anything because the picture is the same with everything in place including noise.

Each layer is assigned a level of transparency so that together all the layers acts like a single picture.

The transparency of the layer "n" is simply calculated as 1 / N. If you have 5 layers of transparencies from the bottom up are:

1 / 5 = 20% (top layer)
quarter = 25%
1 / 3 = 33%
1 / 2 = 50%
1 / 1 = 100% (bottom layer)

For what use is it? See that things are accomplished:

- You get a similar result to a long exposure without the need for filters, water and clouds take the effect of prolonged exposure
- You can also get the effect of "stroke" with stars in night photography without the noise that would have a very long exposure. (You have to take lots of pictures course)
- noise is reduced to a minimum as the noise is random in each exposure by combining all the same is naturally filtered without degrading the image quality
- With plenty of pictures we can eliminate objects moving as people and cars

In situations where an exhibition long is difficult because people are crossing, things can move and take other "n" pictures at times is conducive to the scene and then combine them.

For cameras that are not so "bulb" can be replicated with this technique shows much longer than what the camera allows.

during the day can be used to emulate long exposures at night and can be used to avoid noise naturally.

Example: Taken

Lujan no filters to test the effect of the source, pull out a total of 12 photos, Lito and others who passed through there disappeared.

To deepen an explanation of how noise is reduced with this technique:
Noise Reduction By Image Averaging

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