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.

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.

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

List of possible exceptions:

This filter is available on Advanced Complexity Level.

• AverageImages – Averages two images pixel by pixel.

• BlendImages – Computes weighted sum pixel by pixel.