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LerpImages


Module: FoundationLite

Interpolates two images linearly pixel by pixel.

Name Type Range Description
Input value
inImage1 Image First input image
Input value
inImage2 Image Second input image
Input value
inRoi Region* Range of pixels to be processed
Input value
inLambda Real 0.0 - 1.0 Interpolation between the input images where 0.0 value is equal to inImage1 and 1.0 to inImage2
Output value
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.

Hardware Acceleration

This operation is optimized for SSE2 technology for pixels of types: UINT8, SINT16, REAL.

This operation is optimized for AVX2 technology for pixels of types: UINT8, SINT16, REAL.

This operation is optimized for NEON technology for pixels of types: UINT8, SINT8, UINT16, SINT16, SINT32.

This operation supports automatic parallelization for multicore and multiprocessor systems.

Errors

This filter can throw an exception to report error. Read how to deal with errors in Error Handling.

List of possible exceptions:

Error type Description
DomainError Image formats are not the same in LerpImages.
DomainError Image sizes are not equal in LerpImages.
DomainError Region exceeds an input image in LerpImages.

Complexity Level

This filter is available on Advanced Complexity Level.

See Also

  • BlendImages – Computes weighted sum pixel by pixel.