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- W2954740944 abstract "In addition to the speckle noise introduced in the acquisition process, clinical-used OCT images often have high resolution and thus create a heavy burden for storage and transmission. To alleviate these problems, this chapter introduces several sparse representation based reconstruction methods for denoising, interpolation and compression, which enhance the quality of the OCT images and efficiently manage such large of amounts of data." @default.
- W2954740944 created "2019-07-12" @default.
- W2954740944 creator A5065061505 @default.
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- W2954740944 date "2019-01-01" @default.
- W2954740944 modified "2023-09-26" @default.
- W2954740944 title "Reconstruction of Retinal OCT Images with Sparse Representation" @default.
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- W2954740944 doi "https://doi.org/10.1007/978-981-13-1825-2_4" @default.
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