A Low-Complexity and Hardware-Oriented Image Stitching Algorithm

This paper presents a hardware-oriented image stitching algorithm with characteristic of low complexity. The proposed algorithm is developed by using the feature from accelerated segment test (FAST) algorithm to extract feature point, and combines scale invariant feature transform (SIFT) descriptor to perform feature matching. In order to be suitable for hardware implementation, the proposed algorithm was simplified by using the optimal seam algorithm widely used to achieve seamless image stitching and eliminate ghosting. Moreover, the obvious lines at the stitching seam due to the color difference are reduced by the low-pass filter. Experiment results show that the proposed algorithm has benefits of seamless images with high quality and calculation with low complexity.