  Deconvolution serves as a computational means of removing the effect of
optical aberrations from recorded images and is employed in many technical and
scientific fields of study. In most imaging scenarios the nature of the
blurring kernel or point-spread function (PSF) of the imaging system is unknown
and both the object and PSF can be estimated using different forms of
mathematical optimisation. The Tangential Iterative Projections (TIP) algorithm
is a multi-frame deconvolution framework where multiple images can be combined
to obtain a single estimate of the object. It is shown here that this framework
may be also used for single-frame deconvolution with a few modifications to the
algorithm. This step from multiple to one frame is non-trivial and greatly
improves the applicability of the TIP framework to most imaging scenarios.
