A gigapixel image mosaicking approach based on SURF and color transfer

Ruixing Zhang; Peiwen Hu; Tao Yao; Shuo Li

doi:10.1117/12.2660048

3 February 2023 A gigapixel image mosaicking approach based on SURF and color transfer

Ruixing Zhang, Peiwen Hu, Tao Yao, Shuo Li

Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 125110Y (2023) https://doi.org/10.1117/12.2660048
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China

Abstract

In order to solve the problem that a single camera cannot take into consideration the broad imaging field and high-resolution details, we propose a novel cross-resolution image mosaic framework that embeds local images into global images to synthesize gigapixel images with wide field-of-view and high-definition details. Firstly, the framework adopts a color transfer algorithm to maintain the color consistency between images; secondly, it adopts multi-level feature point matching and homography transformation for image registration; thirdly, the registered local images are segmented into small patches and fused into the global image to provide detailed information. The experimental results show that the framework proposed in this paper can alleviate color and content inconsistency between images and generate large-field images with excellent visual effects when the resolution gap is huge.

Citation Download Citation

Ruixing Zhang, Peiwen Hu, Tao Yao, and Shuo Li "A gigapixel image mosaicking approach based on SURF and color transfer", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 125110Y (3 February 2023); https://doi.org/10.1117/12.2660048

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