Inspired by the concept of the colour filter array (CFA), the research community has shown much interest in
adapting the idea of CFA to the multispectral domain, producing multispectral filter arrays (MSFAs). In addition
to newly devised methods of MSFA demosaicking, there exists a wide spectrum of methods developed for CFA.
Among others, some vector based operations can be adapted naturally for multispectral purposes. In this paper,
we focused on studying two vector based median filtering methods in the context of MSFA demosaicking. One
solves demosaicking problems by means of vector median filters, and the other applies median filtering to the
demosaicked image in spherical space as a subsequent refinement process to reduce artefacts introduced by
demosaicking. To evaluate the performance of these measures, a tool kit was constructed with the capability
of mosaicking, demosaicking and quality assessment. The experimental results demonstrated that the vector
median filtering performed less well for natural images except black and white images, however the refinement
step reduced the reproduction error numerically in most cases. This proved the feasibility of extending CFA
demosaicking into MSFA domain.