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SYNDOF (Synthetic Defocus Blur Image Dataset)
Paper | Supp | DMENet Repo

This repository contains the official matlab implementation of SYNDOF generation used in the following paper:

Deep Defocus Map Estimation using Domain Adaptation
Junyong Lee1, Sungkil Lee2, Sunghyun Cho3, and Seungyong Lee1
1POSTECH, 2Sungkyunkwan University, 3DGIST
IEEE Computer Vision and Pattern Recognition (CVPR) 2019

Teaser image Picture: Outputs generated from our code– from left to right, synthetic input, defocus map output and defocused image.

Getting Started

Prerequisites

Tested environment

Matlab

  • 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 [email protected]

License

License CC BY-NC
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}
}