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aryapratap/image_sharpness_frequency_domain

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This notebook will present a methodology to quantify image sharpness using the frequency domain of the image. With varying focus positions or different focal lengths, different parts of an image are being focused, resulting in highlighting certain frequencies at a time while making the rest blurred. This method will highlight sharp features only.

active 2025-12-25 → 2025-12-25 (UTC)

Complete coverage27,427 / 27,427 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-30 (UTC)
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3
Pushes
2
Pull requests
0
Issues
0
Stars
0
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0

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Line chart, 1 days from 2025-12-25 to 2025-12-25. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

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aryapratap2200

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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.