# YuAo/YUCIHighPassSkinSmoothing

An implementation of High Pass Skin Smoothing using Apple's Core Image Framework

Repository: https://github.com/YuAo/YUCIHighPassSkinSmoothing
Canonical: https://ross.abutalabs.com/products/yucihighpassskinsmoothing
Language: Objective-C
License: NOASSERTION
License Family: other
Last push: 2021-01-14T15:40:55+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3878, "days_push": 2057, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1249, forks 195 (observed 2026-08-28T04:04:07.924611+00:00)

## What it is
An Objective-C library implementing high pass skin smoothing using Apple's Core Image framework, based on the frequency separation technique. It works on both iOS and macOS and provides a real-time GPU-accelerated beauty filter for photos and video.

## Use cases
- smooth skin in photos while preserving detail
- build a beauty filter for a camera app
- apply frequency separation retouching on iOS
- real-time video skin smoothing
- remove skin imperfections with high pass filtering

## When to choose
- you need GPU-accelerated skin smoothing on iOS or macOS
- you want a Core Image filter that preserves fine skin detail
- you need real-time performance for camera or video apps

## When to avoid
- you target platforms outside Apple's ecosystem
- you need a MetalPetal or GPUImage pipeline instead
- you require an actively developed project with recent updates

## Facets
- artifact type: library
- maturity: maintenance
- function: image-processing, graphics
- domain: image-processing, photography, media
- platform: cpp
- tags: core-image, skin-smoothing, frequency-separation, beauty-filter, gpu-image-processing, objective-c, ios, macos, swift

## Member repositories
- YuAo/YUCIHighPassSkinSmoothing (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:07.924611+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T05:07:46.717443+00:00, confidence not recorded.
  - readme: https://github.com/YuAo/YUCIHighPassSkinSmoothing (fetched 2026-08-28T04:04:07.924611+00:00, sha a8450e49fab7)
- Data as of 2026-08-30T08:39:29.467469+00:00.