C# Class ScreenToGif.Encoding.NeuQuant

Neural Quantization Class

Afficher le fichier Open project: dbremner/ScreenToGif Class Usage Examples

Méthodes publiques

Méthode	Description
Map ( int b, int g, int r ) : int	Search for BGR values 0..255 (after net is unbiased) and return color index.
NeuQuant ( byte thePic, int len, int sample ) : System	Initialise the quantization process in range (0,0,0) to (255,255,255).
Process ( ) : byte[]	Starts the quantization.

Private Methods

Méthode	Description
AlterNeighbour ( int radValue, int bestBias, int b, int g, int r ) : void	Move adjacent neurons by precomputed alpha*(1-((i-j)^2/[r]^2)) in _radpower[\|i-j\|]
Altersingle ( int alpha, int bestBias, int b, int g, int r ) : void	Move neuron (bestBias) towards biased (b,g,r) by factor alpha.
ColorMap ( ) : byte[]
Contest ( int b, int g, int r ) : int	Search for biased BGR values.
Inxbuild ( ) : void	Insertion sort of network and building of _netindex[0..255] (to do after unbias).
Learn ( ) : void	Main Learning Loop.
Unbiasnet ( ) : void	Unbias network to give byte values 0..255 and record position to prepare for sort.

Method Details

Map() public méthode

Search for BGR values 0..255 (after net is unbiased) and return color index.

public Map ( int b, int g, int r ) : int
b	int	Blue
g	int	Green
r	int	Red
Résultat	int

NeuQuant() public méthode

Initialise the quantization process in range (0,0,0) to (255,255,255).

public NeuQuant ( byte thePic, int len, int sample ) : System
thePic	byte	The image in bytes.
len	int	The length of the pixels.
sample	int	Sample interval for the quantitizer.
Résultat	System

Process() public méthode

Starts the quantization.

public Process ( ) : byte[]
Résultat	byte[]