Methods › Computer Vision › Whitening › PCA Whitening

PCA Whitening

6 papers tagged archive 2025-07-28

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

PCA Whitening is a processing step for image based data that makes input less redundant. Adjacent pixel or feature values can be highly correlated, and whitening through the use of PCA reduces this degree of correlation.

Image Source: Wikipedia

Papers archive 2025-07-28

6 shown of 6, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

14 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Image Retrieval2
Retrieval2
Classification1
Data Augmentation1
Dictionary Learning1
General Classification1
Image Classification1
Object1
Physical Simulations1
Visual Place Recognition1
Word Embeddings1
image-classification1
imbalanced classification1
scientific discovery1

Usage over time archive 2025-07-28

Papers per year tagged with PCA Whitening: 2018 to 2024, peak 3 3 0 2018: 2 papers 2018 2019: 1 paper 2019 2020: 0 papers 2020 2021: 0 papers 2021 2022: 0 papers 2022 2023: 0 papers 2023 2024: 3 papers 2024
Papers per year the archive tags with this method, by the paper's archive date (6 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Whitening

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections