title: Advances on image interpolation based on ant colony algorithm.
abstract: 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 local weighting scheme. The strength of the proposed global weighting of 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.
authors.affiliation: Department of Communications and Information Sciences, Tilburg University, Warandelaan 2, 5037 AB Tilburg, The Netherlands.
authors.forename: Olivier
authors.initials: O
authors.lastname: Rukundo
authors.affiliation: Department of Electronic and Information Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuchang, Wuhan, 430074 People's Republic of China.
authors.forename: Hanqiang
authors.initials: H
authors.lastname: Cao
keywords: Ant colony optimization; Global weight; High resolution; Image interpolation; Local weight