dmj5
Class DMJ_ConvolutionFilter
Object
common:Generic
dmj5:DMJ_ConvolutionFilter
- Direct Known Subclasses:
- DMJ_GaussianBlur, DMJ_UnsharpMask, DMJ_VariableConvolutionFilter, REB_AverageBlurFilter, REB_EdgeDetectFilter, REB_EmbossFilter, REB_HighPassFilter, REB_LowPassFilter, REB_NullFilter
class
- Generic:DMJ_ConvolutionFilter
Base convolution filter class.
The purpose of this class is to create the arrays required to
support convolution filtering. This consists of an offset array,
a weight array, an overall bias, and an overall multiplier.
These should be set in the constructor.
Ultra Fractal Source
Toggle UF Source Code Display
class DMJ_ConvolutionFilter(common.ulb:Generic) {
; Base convolution filter class.
;
; The purpose of this class is to create the arrays required to
; support convolution filtering. This consists of an offset array,
; a weight array, an overall bias, and an overall multiplier.
; These should be set in the constructor.
public:
import "common.ulb"
func DMJ_ConvolutionFilter(Generic pparent)
Generic.Generic(pparent)
endfunc
func Init(complex pz)
endfunc
; These values are available for the calling class to use directly.
complex m_Offsets[]
float m_Weights[]
float m_Bias
float m_Multiplier
default:
int param v_dmj_convolutionfilter
caption = "Version (DMJ_ConvolutionFilter)"
default = 100
hint = "This version parameter is used to detect when a change has been made to the formula that is incompatible with the previous version. When that happens, this field will reflect the old version number to alert you to the fact that an alternate rendering is being used."
visible = @v_dmj_convolutionfilter < 100
endparam
}
Methods inherited from class Object |
|
DMJ_ConvolutionFilter
public DMJ_ConvolutionFilter(Generic pparent)
DMJ_ConvolutionFilter
public DMJ_ConvolutionFilter()
Init
public void Init(complex pz)