Methods › Computer Vision › Image Denoising Models › JDeskew

Adaptive Radial Projection on Fourier Magnitude Spectrum

JDeskew

1 paper tagged archive 2025-07-28

Introduced by Luan Pham; Phu Hao Hoang; Xuan Toan Mai; Tuan Anh Tran in Adaptive Radial Projection on Fourier Magnitude Spectrum for Document Image Skew Estimation

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

JDeskew is a novel skew estimation method that extracts the dominant skew angle of the given document image by applying an Adaptive Radial Projection on the 2D Discrete Fourier Magnitude spectrum.

PaperSource

Papers archive 2025-07-28

1 shown of 1, 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

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

TaskPapers
Document Image Skew Estimation1

Usage over time archive 2025-07-28

Papers per year tagged with JDeskew: 2022 to 2022, peak 1 1 0 2022: 1 paper 2022
Papers per year the archive tags with this method, by the paper's archive date (1 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

Image Denoising Models

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