Hi Robert,
Welcome to PixInsight Forum!
Indeed we lack a basic deconvolution tool. I plan on writing one after Summer. It will be similar to the current MorphologicalTransformation tool, i.e. it will include a graphical kernel filter designer interface.
As Georg has pointed out, a wavelet transform can be used to implement an efficient low-pass filter, and is much more flexible and controllable than a convolution.
The tool of choice is ATrousWaveletTransform. Just disable several small-scale wavelet layers, as required. If you need more control, you can vary the scaling function used to perform the wavelet transform. Peaked functions (3x3 linear interpolation, 3x3 Gaussian) are better at isolating small-scale structures, so they can be used to control the achieved smoothing effect. Smooth functions (B3 Spline for example) can be used to apply more aggressive low-pass filtering.
An alternative is a script to implement a convolution, either in the spatial domain or in the Fourier domain. This is very easy to do with JavaScript in PixInsight. I'll try to write a simple script tomorrow, which can be an excellent programming example by the way.