Awesome
SYNDOF (Synthetic Defocus Blur Image Dataset)<br><sub>Paper | Supp | DMENet Repo</sub>
This repository contains the official matlab implementation of SYNDOF generation used in the following paper:
Deep Defocus Map Estimation using Domain Adaptation<br> Junyong Lee<sup>1</sup>, Sungkil Lee<sup>2</sup>, Sunghyun Cho<sup>3</sup>, and Seungyong Lee<sup>1</sup><br> <sup>1</sup>POSTECH, <sup>2</sup>Sungkyunkwan University, <sup>3</sup>DGIST<br> IEEE Computer Vision and Pattern Recognition (CVPR) 2019<br>
Picture: Outputs generated from our code– from left to right, synthetic input, defocus map output and defocused image.
Getting Started
Prerequisites
Tested environment
- Download and unzip the synthetic datasets (OneDrive | Dropbox) under
./data
:├── data │ ├── synthetic_datasets │ │ ├── ...
SYNDOF Generation
-
On matlab console, type
# max_coc, input_offset, output_offset, is_random_gen, is_gpu, gpu_num generate_blur_by_depth(29, 'data', 'out', false, true, 1)
-
check the results under
./out
, which is structured as,├── ... ├── out │ ├── blur_map/ # directory for output defocus map │ ├── blur_map_binary/ # directory for binarized defocus map │ ├── blur_map_norm/ # directory for normalized defocus map │ ├── depth_decomposed/ # directory for decomposed depth │ ├── image/ # directory for input image (with its modified name)
Reading SYNDOF
- We rounded real values of defocus map into the nearest 10-th. When you read a defocus map, for example in python, read the file as follows:
image = (np.float32(cv2.imread(file_name, cv2.IMREAD_UNCHANGED))/10.)[:, :, 1] image = image / 7. # 7 = (maxCoC - 1) / 4, where maxCoC is 29 in this case.
Contact
Open an issue for any inquiries. You may also have contact with junyonglee@postech.ac.kr
License
<br>
This software is being made available under the terms in the LICENSE file.
Any exemptions to these terms require a license from the Pohang University of Science and Technology.
Citation
If you find this code useful, please consider citing:
@InProceedings{Lee2019DMENet,
author = {Junyong Lee and Sungkil Lee and Sunghyun Cho and Seungyong Lee},
title = {Deep Defocus Map Estimation Using Domain Adaptation},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2019}
}