Advances on image interpolation based on ant colony algorithm

作者：Rukundo, Olivier^*; Cao, Hanqiang

来源：SpringerPlus, 2016, 5(1): 403.

DOI：10.1186/s40064-016-2040-9

• Global weight
• Local weight
• Ant colony optimization
• High resolution
• Image interpolation

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.

• 出版日期2016-4-1
• 单位华中科技大学