- Michael Gharbi gharbi@mit.edu,
- Yichang Shih yichang@mit.edu,
- Gaurav Chaurasia gchauras@mit.edu,
- Sylvain Paris sparis@adobe.com,
- Jonathan Ragan-Kelley jrk@cs.stanford.edu,
- Fredo Durand fredo@mit.edu
This repository contains two implementation of our Transform Recipes paper.
xform_python is a complete implementation in python. Use this version for quality comparison.
We also include a example client/server implementation in C++/Halide and Java. This version runs on Android.
For any inquiry contact Michael Gharbi.
This code is licensed by MIT and Adobe for research purposes only.
If you use any part of this code, please cite our paper:
@article{Gharbi:2015:TRE:2816795.2818127,
author = {Gharbi, Micha\"{e}l and Shih, YiChang and Chaurasia, Gaurav and Ragan-Kelley, Jonathan and Paris, Sylvain and Durand, Fr{\'e}do},
title = {Transform Recipes for Efficient Cloud Photo Enhancement},
journal = {ACM Trans. Graph.},
issue_date = {November 2015},
volume = {34},
number = {6},
month = oct,
year = {2015},
issn = {0730-0301},
pages = {228:1--228:12},
articleno = {228},
numpages = {12},
url = {http://doi.acm.org/10.1145/2816795.2818127},
doi = {10.1145/2816795.2818127},
acmid = {2818127},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {energy-efficient cloud computing, image filter approximation, mobile image processing},
}