  This paper presents an advance on image interpolation based on ant colony
algorithm (AACA) for high-resolution image scaling. The difference between the
proposed algorithm and the previously proposed optimization of bilinear
interpolation based on ant colony algorithm (OBACA) is that AACA uses global
weighting, whereas OBACA uses a local weighting scheme. The strength of the
proposed global weighting of the AACA algorithm depends on employing solely the
pheromone matrix information present on any group of four adjacent pixels to
decide which case deserves a maximum global weight value or not. Experimental
results are further provided to show the higher performance of the proposed
AACA algorithm with reference to the algorithms mentioned in this paper.
