One pixel camera technology developed by Rice Universit

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Category:

Science & Technology

Tags:

• One
• pixel
• camera
• rice
• university
• DLP
• digital
• micro
• mirror
• image
• compression
• compressive
• sensing

[brunocs]

@McGuywer What he means is that there's no reason why you would have to measure 1 trillion pixels if the compression algorithm is going to later on throw most of that information away. There are smarter ways of measuring things that would not require, eg., cameras with such large megapixels of resolution, and that would allow you to get the same image reconstruction. In other words, if you know that the signal is compressible, you can measure it using much fewer samples.

[McGuywer]

I stopped taking this guy seriously the first minute he said that today's compression algorithms throw away 90-95% of the information. The truth is that these algorithms (JPEG, MP3 etc.) throw away 90% of DATA while preserving 90% or more INFORMATION.

Then he shows us a costly and laborious image acquisition method. How about mixing apples with oranges.

And BTW, why on earth would we choose to replace the multipixel sensor with this tedious one pixel method, if it works just fine?

[lvwarren]

Everything is fine till you hit 7000 nm.

[IgorCarron]

By the way, it looks like the video has been seen more than 1000 times in less than two days. Where is this traffic coming from ?

[IgorCarron]

Current Coded Aperture Imaging does not use the theoretical framework called Compressed sensing featured in this video. It is only a matter of time before it does though. In short compressed sensing (CS) works when the image is sparse. When that is the case, CS brings new rules on how to design the "coded aperture" and more importantly relies on nonlinear reconstruction techniques that were barely available four years ago.

[cdmmem1000]

This is an interesting extension of the range of techniques generally known as coded aperture imaging. These are often used in imaging applications where only very low resolution detectors are used. For example high-energy x-ray and gamma-ray imaging as well as far infrared imaging. Usually these employ a single coded mask and a multiple element (the low resolution) detector. By using a single pixel detector and multiple instances of the mask they achieved the same effect. Fascinating!

[PaulyCracker]

It's amazing that it can capture other wavelengths like infrared, UV and even low light! I've often though that the compression used today was a limiter. But this technology is amazing. I'd never have thought to use a micro mirror like that. Perhaps, they could even use it for video or night vision in the future!? I hope they keep up the good work, and also make it affordable! This is great!

[brettero]

It is actually more expansive then a multi pixel cam. It actually do the optical data acquisition using one optical unit (pixel), but then it needs to correlate it with many random patterns, generated by the DLP, which has a lot more then one pixel.The bigger the number of pixels on the DLP, the better maximum final resolution can be achieved. the data storage must hold all the integrated scrambled patterns (for post processing), and should have much more memory then conventional camera.