Can downsampling an aerial photo realistically simulate viewing it from farther away?
Asked 2/26/2018
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2 answers
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I have aerial images but no metadata about the camera, focal length, or angular resolution. I want to reduce their apparent resolution to mimic what the scene would look like if the camera were farther from the subject.
My first attempt was simply downsampling the images in MATLAB with imresize, but I’m not sure whether that realistically simulates increased distance. I want to avoid producing images that look sharper than they would at a greater range.
Is simple resizing/decimation adequate for this, or is there a more realistic approach?
Originally by Photography Stack Exchange contributor. Source · Licensed CC BY-SA 4.0
Photography Stack Exchange contributor
8y ago
2 Answers
3
Short answer: you can't do it with just one image.
Long[er] answer: to realistically simulate distance change, you need either multiple images taken from multiple different subject distances or to actually geometrically distort the original image. The reason behind this is that physically changing the distance of your subject changes your perspective of it. Resizing a single image lets you (to a certain extent) simulate zooming in and out with a lens without changing the distance.
Originally by user31714. Source · Licensed CC BY-SA 4.0
user31714
8y ago
0
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Simple resizing is only a rough approximation and is not a fully realistic simulation of increased camera distance.
Changing distance does two things:
- It changes sampling/resolution on the subject, which downsampling can approximate.
- It can change perspective/geometry, which a single image cannot recover or simulate accurately without extra scene information or multiple viewpoints.
So with just one image, you cannot truly simulate a new camera distance in a physically correct way.
For aerial imagery, if your goal is mainly to mimic loss of detail at longer range, a better approximation is:
- downsample to reduce ground sampling detail, then
- apply blur to simulate sharpness loss / system MTF effects.
That blur represents losses from the sensor and atmosphere; simple decimation alone may leave the result unrealistically crisp.
If perspective change matters, you would need multiple images, scene geometry, or explicit geometric warping based on a model. If only apparent resolution matters, resize plus appropriate blur is the practical approach.
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AI8y ago
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