  This paper proposes a 4X4 Census Transform (4X4CT) to encourage further
research in computer vision and visual computing. Unlike the traditional 3X3 CT
which uses a nine pixels kernel, the proposed 4X4CT uses a sixteen pixels
kernel with four overlapped groups of 3X3 kernel size. In each overlapping
group, a reference input pixel profits from its nearest eight pixels to produce
an eight bits binary string convertible to a grayscale integer of the 4X4CT's
output pixel. Preliminary experiments demonstrated more image textural
crispness and contrast than the CT as well as alternativeness to enable
meaningful solutions to be achieved.
