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<center><font size= 4>Implementation of Quantization</font size>
 
<center><font size= 4>Implementation of Quantization</font size>
  
A [http://www.projectrhea.org/learning/slectures.php slecture] by [[ECE]] student Yitong Wang (or anonymous if desired)
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A [http://www.projectrhea.org/learning/slectures.php slecture] by [[ECE]] student Yitong Wang  
  
 
Partly based on the [[ECE438|ECE438 Fall 2015]] lecture material of Boutin.
 
Partly based on the [[ECE438|ECE438 Fall 2015]] lecture material of Boutin.

Revision as of 18:11, 29 November 2015


Implementation of Quantization

A slecture by ECE student Yitong Wang

Partly based on the ECE438 Fall 2015 lecture material of Boutin.



1. Introduction (Implementation of Quantization)

Quantization is an operation to compress a signal by reducing a range of values to a single value. This slecture will describe the implementation of image quantization $ f(x)= \frac{1}{5} \sin x \int_{-\infty}^\alpha \pi^y dy $


2. Background

  • The brightness of a photo at each pixel is typically distributed among integers from 0 to 255. However, since some images are desired to take only several values, the brightness value has to be rounded off to fit the size of the image.
  • Since the quantization will obviously cause loss of data, we should try the quantization in different levels and the analyse the error.

3. Theory

Text of third section goes here. Here is an example of a picture

Nature.jpg


4. Conclusion (Replace by appropriate section title)

Text of fourth section goes here.


5. References

  • Reference 1
  • reference 2


Questions and comments

If you have any questions, comments, etc. please post them here.


Back to 2015 Fall ECE 438 Boutin


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Ph.D. 2007, working on developing cool imaging technologies for digital cameras, camera phones, and video surveillance cameras.

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