Coreimage FRAME (framework) in IOS

Coreimage Framework Composition

Apple has helped us classify image processing to see its structure:

Mainly divided into three parts:

1) Definition part: Coreimage coreimagedefines. See the name of Righteousness, represents the Coreimage this framework and its definition.

2) Operation section:

Filter (Cifliter): Cifilter produces a ciimage. Typically, take one or more pictures as input, and after some filtering, produce a picture of the specified output.

Detection (Cidetector): Cidetector detect the characteristics of processing pictures, such as using to detect the face of the image of the eyes, mouth, and so on.

Feature (Cifeature): Cifeature represents the characteristics that are produced by detector processing.

3) Image section:

Canvas (cicontext): A canvas class can be used with quartz 2D or OpenGL. You can use it to associate the Coreimage class. such as filters, colors and other rendering processing.

Color (cicolor): The Association of pictures with the canvas, image pixel color processing.

Vector (Civector): The image of the coordinate vector and other geometric methods of processing.

Picture (Ciimage): Represents an image that can represent the output of an association.

2. Processing steps:

1) Create a Ciimage object;

2) Create a Cifilter object and set input values

3) Create a Cicontext object.

4) render the filter output image into a cgimage

3. Note

A. Focus on the ways in which Ciimage is produced:

1) through the URL and data

2 through other pictures class conversion, cgimageref or other pictures.

3) through Cvpixelbufferref.

4) A set of pixel data.

B. Picture color, Kccimagecolorspace to overload the default color space.

C. Picture metadata.

4. Use filters.

Cisepiatone, Cicolorcontrols, Cihueblendmode.

Process: Multiple CImage input--"Ciheblendmode-" cisepiatone.

Render Output:

Process: Get context-"turn into ciimage-" rendering into Cgimageref-"convert to UIImage-" release cgimageref-"Use UIImage."

5. Face Detection

Automatic enhancements: ciredeyecorrection  , cifacebalance (adjust picture to give better skin tone), civibrance (increase saturation without distorting skin tones), Citonecurve (adjust picture contrast), highlight shadow adjustment.