- New: Principal Component Analysis (PCA)
- Advanced option to change the dtype of the output
- For filters where negative values are expected in the output, use float32 as
default output dtype (instead of dtype of input layer) to avoid clipping and
overflow errors
- Convolve: normalize with sum of absolute values of kernel as default, not
simply the sum
- Unsharp mask: Avoid overflow error by calculating in float64
- Use sizes widget in more filters
- More load options for kernel/structure/footprint
- New origin widget and add origin as parameter to a couple of filters
- New set of filters for pixel statistics (std, mean, min ... for all bands of
individual pixels)
