Google HDR+ Image Processing Pipeline

From Psych 221 Image Systems Engineering
Revision as of 04:59, 12 December 2018 by imported>Student2018 (Introduction)
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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 and Implementation

Alignment

L1 and L2 Brute Force

Fast L2

Merge

Simple Merge Algorithm

Robust Merge Algorithm

Results

Our Result vs. Google's HDR+ Result

Shifts and Rotations

Noise

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).