Digital image processing: p006 - Image formation - Sampling Quantization

  • 🎬 Video
  • ℹ️ Published 10 years ago

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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💬 Comments

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


Thanks a lot sir for such lucid explanation. 👏🙏

Author — Sapan Jain


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


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


thanku sir..for give good knowledge :-)

Author — Shivam Soni


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

Author — Ahmet


What software is the instructor using in this video?

Author — Arnold Lopez


Professor: Guillermo Sapiro, Thank you.

Author — Mohamed Ramadan Mohamed


where is the video regarding image operation????

Author — Babi Biswas