<p>What is the difference between principal component analysis and singular value decomposition in image processing? Which one performs better, and why?</p>

CC BY-SA 4.0
2019-12-18T13:57:22.843Z
Is there are particular (image processing) application you're interested in? PCA and SVD are quite general techniques.
nbro
CC BY-SA 4.0
2019-12-18T14:02:38.150Z
The application are Missing Person Detection using python @nbro
DRV
<computer-vision><comparison><image-processing><principal-component-analysis><singular-value-decomposition>
What is the difference between principal component analysis and singular value decomposition in image processing?
DRV
# What is the difference between principal component analysis and singular value decomposition in image processing?

(Asked by: username_0 on 2019-12-18)

What is the difference between principal component analysis and singular value decomposition in image processing? Which one performs better, and why?

**Tags:** computer-vision, comparison, image-processing, principal-component-analysis, singular-value-decomposition

> **Comments:**
> **username_1**: Is there are particular (image processing) application you're interested in? PCA and SVD are quite general techniques.  
> **username_0**: The application are Missing Person Detection using python @username_1  

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## 0 answers

