Digital image processing: p006 - Image formation - Sampling Quantization

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  • ℹ️ Published 10 years ago
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Image and video processing: From Mars to Hollywood with a stop at the hospital
Presented at Coursera by professor: Guillermo Sapiro of Duke university

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Author

Great lectures, thanks !_!

For the RGB interpolation of images, this doesn't necessarily have to be done as they could potentially be stored in mosaic form at 1/3 the size. Is this done for compatibility's sake, or to make processing the images faster (such as when a video/image is being displayed)? Or is there some other reason why the interpolated RGB form is used over the mosaic form, at the cost of the extra file size.

Author — raszelast

Author

Thanks a lot sir for such lucid explanation. 👏🙏

Author — Sapan Jain

Author

first of all thanks for the class. 
I have a question, around 19 min you say that images also adapt depending on the  brightness level, does that mean that if the flower image didnt had a black background it would have a better definition of the white levels? does the 256 values depends on the lower and highest level of light of that specific picture or is 0 always black and 255 the whitest you can get?
thanks again

Author — mraeclo

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How does one put a number for each of the 3 colours R, G, B in order to distinguish them from one another ?

Author — c.daniel Premkumar

Author

thanku sir..for give good knowledge :-)

Author — Shivam Soni

Author

5.43 Can Image take flosting point greyscale values ? Is it possible that a pixel value can be 17.5?

Author — Ahmet

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What software is the instructor using in this video?

Author — Arnold Lopez

Author

Professor: Guillermo Sapiro, Thank you.

Author — Mohamed Ramadan Mohamed

Author

where is the video regarding image operation????

Author — Babi Biswas