A bunch of Automatic White-Balancing (AWB) Algorithm implementations
Project description
AWB-Lib
Implementation of a bunch of Automatic White-Balancing (AWBE algorithms), using JAX. Comparisons and experiments can be found in docs
folder.
Implemented Algorithms
- Gray World (GW), based on gray world assumption. See
awblib.gw
. - Colour Histogram Stretching (CHS). See
awblib.chs
. - Average Equalization and Threshold (AAET). See
awblib.aaet
. - Histogram Matching (AWB-HM), based on histogram matching. See
awblib.hm
. - Dynamic Histogram Matching (AWB-DHM), based on histogram matching and channel selection. See
awblib.dhm
.
AWB-DHM
T. Gollanapalli, V. R. Peddigari and P. S. Madineni, "Auto white balance using dynamic histogram matching for AMOLED panels," 2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), Bengaluru, India, 2017, pp. 41-46, doi: 10.1109/ICCE-ASIA.2017.8307848.
Explanations about our implementation is here.
AWB-HM
Chengqiang Huang, Qi Zhang, Hui Wang, and Songlin Feng, "A Low Power and Low Complexity Automatic White Balance Algorithm for AMOLED Driving Using Histogram Matching," J. Display Technol. 11, 53-59 (2015)
Explanations about our implementation is here. This implementation largely reproduced the results.
Example Results
See docs
for more.
Notes
Actually no paper has mentioned that if they are invariant to colour space or they depend on a specific colour space. As far as I know, most non-ML image processing algorithms require linear RGB; this processing is not done in this module yet.
License
Apache-2.0
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file awblib-0.0.3.tar.gz
.
File metadata
- Download URL: awblib-0.0.3.tar.gz
- Upload date:
- Size: 11.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.5.1 CPython/3.11.4 Linux/5.15.0-1041-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 56517410cacf664088943d057ba45a37b8a8df9259ee6056e7e44649b8d0556e |
|
MD5 | 876bfc5c24cfabe5f81cf36faa9c6e6e |
|
BLAKE2b-256 | 303cd2f42fca73f7c6d38a1ffa198c3c5d640dae218cbbd8352dec1b0b520661 |
File details
Details for the file awblib-0.0.3-py3-none-any.whl
.
File metadata
- Download URL: awblib-0.0.3-py3-none-any.whl
- Upload date:
- Size: 15.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.5.1 CPython/3.11.4 Linux/5.15.0-1041-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 44782a7a0f947bd0fcbd0379c5ef39f8b1512e0761d7ac76256ef798932359ef |
|
MD5 | 3b9f950fecdcea8a3fa6190a2a379673 |
|
BLAKE2b-256 | 54956cdaaf1fee21b9b8b092e91dbc7b7794a72e9f9b954478a3ce3b56ae6930 |