C# 클래스 ScreenToGif.Encoding.NeuQuant

Neural Quantization Class

파일 보기 프로젝트 열기: dbremner/ScreenToGif 1 사용 예제들

공개 메소드들

메소드	설명
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.

비공개 메소드들

메소드	설명
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.

메소드 상세

Map() 공개 메소드

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
리턴	int

NeuQuant() 공개 메소드

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.
리턴	System

Process() 공개 메소드

Starts the quantization.

public Process ( ) : byte[]
리턴	byte[]