  Video motion magnification could directly highlight subsurface blood vessels
in endoscopic video in order to prevent inadvertent damage and bleeding.
Applying motion filters to the full surgical image is however sensitive to
residual motion from the surgical instruments and can impede practical
application due to aberration motion artefacts. By storing the temporal filter
response from local spatial frequency information for a single cardiovascular
cycle prior to tool introduction to the scene, a filter can be used to
determine if motion magnification should be active for a spatial region of the
surgical image. In this paper, we propose a strategy to reduce aberration due
to non-physiological motion for surgical video motion magnification. We present
promising results on endoscopic transnasal transsphenoidal pituitary surgery
with a quantitative comparison to recent methods using Structural Similarity
(SSIM), as well as qualitative analysis by comparing spatio-temporal cross
sections of the videos and individual frames.
