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LerpImages
Interpolates two images linearly pixel by pixel.
Syntax
void avl::LerpImages ( const avl::Image& inImage0, const avl::Image& inImage1, atl::Optional<const avl::Region&> inRoi, float inLambda, avl::Image& outImage )
Parameters
| Name | Type | Range | Default | Description | |
|---|---|---|---|---|---|
 |
inImage0 | const Image& | |||
|
inImage1 | const Image& | First input image | ||
|
inRoi | Optional<const Region&> | NIL | Range of pixels to be processed | |
|
inLambda | float | 0.0 - 1.0 | 0.5f | Interpolation between the input images where 0.0 value is equal to inImage0 and 1.0 to inImage1 |
 |
outImage | Image& | Output image |
Description
The operation computes the linear interpolation of two images. Each pixel of the output image is computed as follows. \[ outImage[i,j] = (1-inLambda) \cdot inImage0[i,j] + inLambda \cdot inImage1[i,j] \]
In multichannel (color) images each pixel channel is processed separately.
The operation requires that the images being processed have equal format and dimensions, otherwise an error with appropriate description occurs. To obtain an image of desired dimensions one can use ResizeImage or CropImage filter. To alter the pixel type of an image one can use ConvertPixelType filter. ConvertToMultichannel and AverageChannels filters allow to alter the number of image channels.
In-place Processing
This function supports in-place data processing - you can pass the same reference to inImage0 and outImage, inImage1 and outImage
Hardware Acceleration
This operation is optimized for SSE2 technology for pixels of types: UINT8, SINT16, REAL.
This operation supports automatic parallelization for multicore and multiprocessor systems.
Errors
| Error type | Description |
|---|---|
| DomainError | Image sizes are not equal in LerpImages. |
| DomainError | Image formats are not the same in LerpImages. |
