Google HDR pipeline Implementation in Matlab: Difference between revisions

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Created page with '== Introduction == == Background == == Methods == == Results == == Conclusions == == Appendix == You can write math equations as follows: <math>y = x + 5 </math> You ca…'
 
imported>Student2018
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== Introduction ==  
== Introduction ==
Smartphone cameras have evolved and improved a lot over the past decade. Nowadays, a lot of photography is performed using smartphone. However, small apertures and small sensor pixels of smartphone cameras normally lead to noisy images in low light and limited dynamic range. To fix these issues, Google proposes a complete computational photography pipeline which captures, aligns and merges a burst of frames to reduce noise in low-light setting and also increase dynamic range.


== Background ==
== Background ==

Revision as of 05:10, 12 December 2018

Introduction

Smartphone cameras have evolved and improved a lot over the past decade. Nowadays, a lot of photography is performed using smartphone. However, small apertures and small sensor pixels of smartphone cameras normally lead to noisy images in low light and limited dynamic range. To fix these issues, Google proposes a complete computational photography pipeline which captures, aligns and merges a burst of frames to reduce noise in low-light setting and also increase dynamic range.

Background

Methods

Results

Conclusions

Appendix

You can write math equations as follows: y=x+5

You can include images as follows (you will need to upload the image first using the toolbox on the left bar, using the "Upload file" link).