It takes the edge off of skin and makeup problems that can be visible with HD video. Video Beauty Filter skin retouching app acts as digital makeup in post-production by incorporating state-of-the-art face detection and smoothing algorithms. Automatic mask which gives you more precise skin retouching capabilities and added in presets to give you a variety of styles on top of the main functionality of smoothing out wrinkles and blemishes. See LICENSE file for detail.Video Beauty Filter app takes the best skin smoothing technology available. HighPassSkinSmoothing is Free but under Apache 2.0 licensed. Thanks a lot to Yu Ao for his iOS YUCIHighPassSkinSmoothing Library. If you find a bug and know exactly how to fix it, please open a pull request. You are encouraged to try different input parameters or tweak the interal procedure to make this filter better or just fit your needs.ĭon't hesitate to open an issue if you have any idea or suggestion. Please run the demo app on an actual device instead of Emulator.įor now, You have to Clone or download this repo and include skinsmoothness as a android Module. getBitmapAndFree() īrowse DemoApp and Library for More Information. startSkinWhiteness(whiteR) //Process for Skin Whiteness Bitmap processedBitmap = amniXSkinSmooth. startSkinSmoothness(smoothR) //Process for Skin Smoothness *** OR ***ĪmniXSkinSmooth. startFullBeauty(smoothR, whiteR) // Process Smoothness and Whiteness in single line *** OR ***ĪmniXSkinSmooth. storeBitmap(bitmap, false) // Your Bitmap (define if you want to recycle it or not)ĪmniXSkinSmooth. getInstance() //Get InstanceĪmniXSkinSmooth. Make sure that You use below code in a worker Thread As its may take some couple of millis.ĪmniXSkinSmooth amniXSkinSmooth = AmniXSkinSmooth. Use the HighPassSkinSmoothing is Follows. Configured NDK! (Take some Help from Google if Need).Android API 14+ (Might be Work on Below then this! Never Tried.).Then we will be able to smoothing the image while preseving a fine level of detail by applying adjustments ( Curve Adjustment in the diagram) to certain frequencies of the image. In other words: shadows and light areas, colors and tones.īy using High Pass filter, the image can be separated into high and low spatial frequencies. Low frequencies are the image data that contains information about volume, tone and color transitions. High frequencies in an image will contain information about fine details, such as skin pores, hair, fine lines, skin imperfections. It is possible because a digital image can be interpreted as different frequencies represented as sine waves. The main theory behind High Pass Skin Smoothing is Frequency Separation.įrequency separation splits up the tones and colors of a image from its more detailed textures.

The basic routine of HighPassSkinSmoothing can be described with the following diagram.

Skin smoothing video filter