Discrete Cosine Transform (DCT) Imaging Method
Overview
The DCT (Discrete Cosine Transform) imaging method is a classical single-pixel imaging technique based on discrete cosine patterns. This orthogonal pattern basis is the same one historically used in JPEG compression.
| Development Status | Technique Specificity | Measurement Output Format | Example Patterns |
|---|---|---|---|
| Functional and final | Classical SPI | Raw measurements: spectra / masks / metadata | |
install
tested with python 3.9
pip install onepix_dct
🔗 Source Code
📁 Access the source code on GitHub:
👉 ONE-PIX – DCT Imaging Method
🧪 Author & Contributor
🔧 Made by POP 💡
Metadata
Release files for onepix-dct 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| onepix_dct-0.1.3.tar.gz | 4.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| onepix_dct-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.6 kB
Release files / onepix_dct-0.1.3.tar.gz
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Release files / onepix_dct-0.1.3-py3-none-any.whl
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| Size | 5.3 kB |
| Tags | Python 3 |
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