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hdr-imaging's Introduction

VFX Project 1 - HDR Imaging

0. Team Members

  • R07944007 林良翰
  • R07922100 楊力權

1. Program Usage

1.1. Quick Usage

  • Input directory
[input_directory]/
├──[image1]
├──...
└──shutter_times.txt
  • Example of shutter_times.txt
32
16
8
4
2
1
1/2
1/4
1/8
1/16
1/32
1/64
1/128
1/256
1/512
1/1024
  • Run
python3 hdr.py [input_directory] --savedir [output_directorp]

1.2. Advanced Usage

  • Please check the program document.
python3 hdr.py --help

2. Code Works

2.1. Image Alignment

  • MTB Algorithm
    Instead of using median threshold bitmap, we used gradient magnitude to compare the differences.

2.2. HDR Reconstruction

  • Debevec's Method
  • Robertson's Method

2.3. Tone Mapping

  • Photographic

    • Global Operator
    • Local Operator

  • Bilateral We implemented opencv bilateral filtering to complete this algorithm.

3. Comparison

  • Input Images - data/memorial

3.1. Debevec's Method

  • Response Curve

  • Radiance

  • Tonemapping

Photographic Global Operator Photographic Local Operator Bilateral

3.2. Robertson's Method

  • Response Curve

  • Radiance

  • Tonemapping

Photographic Global Operator Photographic Local Operator Bilateral

4. Our HDR Photo

  • Input Images - data/ntu-library

4.1. Parameter

  • Image Alignment

    • depth = $5$

  • Debevec's Method

    • $\lambda = 10$

  • Photographic Local Operator

    • $a=0.25$
    • $\delta=10^{-6}$

4.2. Result

  • Response Curve - data/ntu-library/res/debevec/response_curve.png

  • Radiance - data/ntu-library/res/debevec/radiance.hdr

  • Tonemapping - data/ntu-library/res/debevec/tonemap_local.png

hdr-imaging's People

Contributors

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Watchers

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