The foundation of Image Processing-amazing image processing

Ruan Yifeng

 

A few weeks ago, I introduced similar image search.

This is an example of difficult image processing using mathematical algorithms. In fact, the mathematical algorithms for image processing have grown to an amazing level.

Scriptol lists several magical image processing algorithms. Let's take a look.

I. Algorithm for generating vector graphs using pixel Graphs

Images in the early digital age have very low resolution. In particular, some video game pictures are scaled up in pixel squares. The depixconfiguring algorithm converts low-resolution pixel Graphs into high-quality vector graphs.

Ii. Coloring algorithms for black and white images

An algorithm that automatically turns old photos into colors.

3. Shadow elimination algorithm

This algorithm removes the shadow of something in a photo without any trace.

Iv. HDR photo Algorithm

The so-called "HDR photo" is to expand the contrast between the bright and dark parts. The bright areas become very bright, the dark areas become very dark, and the details of the bright and dark parts are very obvious.

There are many software for implementing HDR. We recommend g'mic here. It is a plug-in of the gimp image editing software, and all the code is open-source.

5. Algorithms for eliminating Sundries

The so-called "Remove debris" means to draw an area on the photo and then fill it with the background automatically. Resynthesizer can do this. It is also a gimp plug-in.

Vi. Automatic Photo synthesis algorithm

Select the original photos based on a sketch and combine them to generate a new photo. This is the scientific research achievement of Tsinghua University.

VII. Beauty Algorithms

Automatically beautify the appearance.

 

Http://blog.csdn.net/arau_sh/article/details/9057929

The foundation of Image Processing-amazing image processing