Michal Kawulok
ABSTRACT
Super-resolution reconstruction (SRR) allows for enhancing image spatial resolution from low-resolution (LR) observations, which are assumed to have been derived from a hypothetical high-resolution image by applying a certain imaging model (IM). However, if the actual degradation is different from the assumed IM, which is often the case in real-world scenarios, then the reconstruction quality is affected. We introduce a genetic algorithm to optimize the SRR hyper-parameters and to discover the actual IM by evolving the kernels exploited in the IM. The reported experimental results indicate that our approach outperforms the state of the art for a variety of images, including difficult real-life satellite data.
- B. Ahrens. 2005. Genetic algorithm optimization of superresolution parameters. In Proc. GECCO. ACM, 2083--2088. Google Scholar
Digital Library
- T. Akgun, Y. Altunbasak, and R.M. Mersereau. 2005. Super-resolution reconstruction of hyperspectral images. IEEE TIP 14, 11 (2005), 1860--1875. Google ScholarDigital Library
- S. Farsiu, M.D. Robinson, M. Elad, and P. Milanfar. 2004. Fast and robust multiframe super resolution. IEEE TIP 13, 10 (2004), 1327--1344. Google ScholarDigital Library
- M. Irani and S. Peleg. 1991. Improving resolution by image registration. CVGIP: Graphical Models and Image Process. 53, 3 (1991), 231--239. Google ScholarDigital Library
- M. Kawulok, P. Benecki, D. Kostrzewa, and L. Skonieczny. 2018. Towards Evolutionary Super-Resolution. In Evostar 2018. Springer, Cham, 480--496.Google Scholar
- R. Schultz and R. Stevenson. 1996. Extraction of high-resolution frames from video sequences. IEEE TIP 5, 6 (1996), 996--1011. Google ScholarDigital Library
- L. Yue, H. Shen, J. Li, Q. Yuan, H. Zhang, and L. Zhang. 2016. Image super-resolution: The techniques, applications, and future. Signal Process. 128 (2016), 389--408. Google ScholarDigital Library
- H. Zhu, W. Song, H. Tan, J. Wang, and D. Jia. 2016. Super resolution reconstruction based on adaptive detail enhancement for ZY-3 satellite images. Proc. ISPRS Congress (2016), 213--217.Google Scholar
Index Terms
- Evolving imaging model for super-resolution reconstruction
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