Reconstructing an image out of a white surface light information.

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Discussion Overview

The discussion revolves around the theoretical possibility of reconstructing images of objects in front of a white surface using only the light information reflected from that surface. It explores concepts from computational photography and lensless image sensors, focusing on algorithms and methods that could facilitate such reconstruction.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant questions the clarity of the original question, asking for clarification on what is meant by "calculate the light of the surroundings" and whether the white paper is intended to act as a "mirror."
  • Another participant emphasizes the need for a clearer question without requiring others to watch lengthy videos.
  • A participant describes techniques from computational photography that can separate direct and indirect light, suggesting that algorithms exist for analyzing light interactions.
  • There is mention of a lensless image sensor that gathers light from all directions, allowing for post-capture focusing, but it does not generate a final image immediately.
  • One participant expresses skepticism about the feasibility of reconstructing an image from a white surface, noting that controlled illumination is necessary to avoid mixing light from different objects.

Areas of Agreement / Disagreement

Participants express varying levels of understanding and skepticism regarding the feasibility of the proposed idea. There is no consensus on whether it is possible to reconstruct images solely from light information on a white surface, and multiple viewpoints remain contested.

Contextual Notes

Participants highlight the importance of controlled illumination and the limitations of current methods in accurately reconstructing images from a white surface, indicating that assumptions about light behavior and sensor capabilities are critical to the discussion.

Ovden151
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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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Sorry for the bump... If this subject needs a better explanation just let me know.
 
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"?
 
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.
 
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.
 
In this video they show a way to infer the image from a point of view different than the one of the camera.

 
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.
 

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