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- W3089950731 abstract "The necessity to improve image resolution is of great concern in multiple diverse fields such as: medicine, communications, or satellite and underwater applications. A high variety of techniques for image enhancement has been proposed in the literature, being a trade-off the relation between the computation time and the quality of the obtained results. This work is focused on a test environment that permits to objectively compare the quality enhancement of images processed by two different improvement methods: bilinear interpolation and Super-Resolution (SR), presenting how these results relate to the computation time. The objective comparison is based on the PSNR (Peak Signal-to-Noise Ratio) and the SSIM (Structural SIMilarity)." @default.
- W3089950731 created "2020-10-08" @default.
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- W3089950731 date "2013-01-01" @default.
- W3089950731 modified "2023-09-23" @default.
- W3089950731 title "Computation time optimization in super-resolution applications" @default.
- W3089950731 doi "https://doi.org/10.1007/978-3-642-53862-9-14" @default.
- W3089950731 hasPublicationYear "2013" @default.
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