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

hub

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 💡

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for grussias from gravatar.com grussias

Credits

Author: M. Ribes

License

MIT

Requires

Python >=3.9

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

onepix_dct-0.1.3.tar.gz (4.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

onepix_dct-0.1.3-py3-none-any.whl (5.3 kB view details)

Uploaded Python 3

File details

Details for the file onepix_dct-0.1.3.tar.gz.

File metadata

  • Download URL: onepix_dct-0.1.3.tar.gz
  • Upload date:
  • Size: 4.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for onepix_dct-0.1.3.tar.gz
Algorithm Hash digest
SHA256 e3eeede5b3902f94cedd669cefdd2febf419d3c4d99f38c7620c4ebf27f92595
MD5 adbd0fd2dcbb9a98af81b477689fbef7
BLAKE2b-256 c88af48d7b347ca78e5a4a40419a3a4cf22c031fd5e8815d771a310d26da517e

See more details on using hashes here.

File details

Details for the file onepix_dct-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: onepix_dct-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 5.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for onepix_dct-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 eadb3956a7b11df2e7b7e9b8bde9b15ca7529cbc5aeb385917ae28b60842dd89
MD5 6949b5e629cc22147e7c5d8eeb589ea0
BLAKE2b-256 fd31dab241aa4a72d87ce214d75923837c0b8d709d86dea84e6f3ec4647b3577

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page