Abstract
Intensity degradations are a familiar problem for fluorescein angiogram sequences. In this paper, we attempt to super-resolve a fluorescein angiogram, and to keep the high intensity pixels from degrading. To this end, we incorporate a new constraint, called intensity constraint, to Miller’s regularization formulation with a smoothness constraint. Considering the specified requirement for fluorescein angiograms, we also modify the Q-th order converging algorithm for implementation purpose. In our scheme, including its formulation and implementation, super-resolution reconstruction can not only handle the traditional problems, such as blur, decimation, and noise, but also achieve an important feature, intensity preservation. The experiments show that our approach has satisfactory results in the two aspects.
This work was supported by the foundation of science and technology development of Jilin Province, China under Grant 20040531.
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Guo, X., Xu, Z., Lu, Y., Liu, Z., Pang, Y. (2005). Super-Resolution Reconstruction from Fluorescein Angiogram Sequences. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3644. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538059_69
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DOI: https://doi.org/10.1007/11538059_69
Publisher Name: Springer, Berlin, Heidelberg
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