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imageprocessing's Introduction

ImageProcessing ImageProcessing

This is an MFC application based on OpenCV. It provides some basic functionality of image processing like Gaussian filter, lifuifying and so on. Actually, it will be more like a simple OpenCV experiment platform for quick implementation of some ideas.

Functionality

ImageProcessing project provides such functions:

Vignette Filter

Vignette Filter Example Vignette Filter Example

Gaussian Filter

Gaussian Filter Example Gaussian Filter Example

Median Filter

Median Filter Example Median Filter Example

Saturation adjustment

Saturation Example Saturation Example Saturation Example

White Balance

White Balance Example White Balance Example

Image Sharpening

Image Sharpening Example Image Sharpening Example

Skin Beautifying

The application will first detect all the faces in the image and consider the face regions as the mask for skin beautifying. Skin beautifying contains two features: Skin Blur and Skin Whiten.

Note:

  • Skin Blur is implemented using Bilateral Filter
  • Skin Whiten is implemented simply using saturation and luminance

Skin Beautifying Example Skin Beautifying Example Skin Beautifying Example

Liquifying

Liquifying Example

Inpainting (based on PatchMatch)

The inpainting function is implemented based on PatchMatch algorithm.

Note: PatchMatch: A Randomized Correspondence Algorithm for Structural Image Editing http://gfx.cs.princeton.edu/gfx/pubs/Barnes_2009_PAR/index.php

Inpaint Example Inpaint Example Inpaint Example Inpaint Example Inpaint Example Inpaint Example Inpaint Example

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