Reconstructing an image out of a white surface light information.

In summary, the videos discussed computational photography techniques and a lensless image sensor that gathers light from all directions. However, it is not possible to calculate the light of the surroundings of a white surface just from the light information on that surface. The videos also showed examples of removing motion blur and inferring images from different points of view.
  • #1
Ovden151
5
0
After watching these videos about Computational photography:

and lensless image sensors:


was wondering if it is at least theoretically possible to calculate the light of the surroundings of a white surface just from the light information on that surface.

For instance taking a picture of a rectangular white paper and then compute how all the things in front of it looked like just by extracting the light information on the white paper.

Are there any algorithms or papers about this?
 
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  • #2
Sorry for the bump... If this subject needs a better explanation just let me know.
 
  • #3
Your question is a little unclear. What does "calculate the light of the surroundings" and "compute how all the things in front of it looked" mean? Are you trying to use the white paper as a type of "mirror"?
 
  • #4
Those videos are too long to expect us to watch before answering your question. So you need to ask the question in a way that we will understand without watching them.
 
  • #5
Thanks for the heads up guys. Here is a graphic describing the idea, and a short video of what's described in the second video above.

wwi4np.jpg




The first video of the main post is about computational photography and shows some examples of techniques from that field.
For instance it shows how computationally it can be separated the direct light and the global illumination affecting different objects. They came up with algorithms that can separate bounced indirect light, sub-surface scattered light, from all the direct light. They also show how they could remove the motion blur of all moving objects no matter the speed difference and direction of each object.

And the second shows a lensless image sensor which gathers all the light around, it doesn't generate the final image, but later the image is computed analyzing the light gathered by the sensor. It seems to gather light from all directions, and with the light information saved, it can even allow to chose the focusing of the image *after* capturing the light information.
 
  • #6
In this video they show a way to infer the image from a point of view different than the one of the camera.

 
  • #7
Ovden151 said:
For instance taking a picture of a rectangular white paper and then compute how all the things in front of it looked like just by extracting the light information on the white paper.

If I understand the last video correctly, no. It seems to me that they illuminated one section of the playing card at a time using the projector. Without the ability to control the illumination you can't get a clear image from the white surface since light from the entire card is mixed together.
 

1. How does reconstructing an image out of white surface light information work?

Reconstructing an image out of white surface light information involves using computational algorithms and mathematical models to analyze the light reflected off a white surface and reconstruct an image based on that information.

2. What is the purpose of reconstructing an image out of white surface light information?

The purpose of this process is to create a digital image of an object or scene using only the light information reflected off a white surface, without the need for traditional cameras or sensors.

3. Can any type of image be reconstructed using white surface light information?

No, the object or scene being reconstructed must have a high level of contrast and texture in order for the light information to accurately capture its shape and details.

4. Are there any limitations to reconstructing an image out of white surface light information?

One limitation is that the reconstructed image may not have the same level of color accuracy as a traditional photograph or image. Additionally, the accuracy of the reconstruction may be affected by external factors such as lighting and the quality of the white surface.

5. How is the quality of the reconstructed image determined?

The quality of the reconstructed image is determined by comparing it to a reference image of the same object or scene. The closer the reconstructed image is to the reference image, the higher the quality of the reconstruction.

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