Reality image super-resolution algorithm based on an improved pipeline processing model

Renjie Shu; Pengcheng Yao; Can Zhang; Feipeng Da

doi:10.1117/12.2685064

19 October 2023 Reality image super-resolution algorithm based on an improved pipeline processing model

Renjie Shu, Pengcheng Yao, Can Zhang, Feipeng Da

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127093Y (2023) https://doi.org/10.1117/12.2685064
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

A suppression module is proposed based on pipeline super-resolution (SR) algorithm to address the issues of unstable restoration effect of real images and unsatisfactory details in perception level often generated in traditional image SR. This module segments the original image into several sub-images of the same size and categorizes them into three levels of simple, medium, and hard based on their restoration difficulty. It suppresses the generation of image artifacts and stabilizes the restoration of real details by applying different restoration processes to sub-images of different categories. An artifacts-map is generated based on the observed residual in the artifacts region to regulate and stabilize the model training process. Through experiments, by replacing the original model's simple classification module, more sub-images are processed through a smaller network, and the restoration effect of sub-images of different categories is improved by about 4%, and the overall image restoration effect is improved by 2%.

Citation Download Citation

Renjie Shu, Pengcheng Yao, Can Zhang, and Feipeng Da "Reality image super-resolution algorithm based on an improved pipeline processing model", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127093Y (19 October 2023); https://doi.org/10.1117/12.2685064

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