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- W4308234329 abstract "This paper explores the problem of removing real, non-simulated noise from a large body of large binary images. Three denoising methods are evaluated for their efficacy and speed: the well known DUDE, a novel variant of it which we call the Quorum Denoiser, and an adaptation of the Non-Local Means (NLM) method for binary images, B-NLM which, to our knowledge, is faster than other known variants. The methods are compared and tested both on simulated noise (as a benchmark) and on the real life images. All three methods produce good results on real noise. However, despite being optimized, the B-NLM is significantly slower than the other two, whose speeds are comparable to a plain median filter. Overall, the Quorum denoiser appears to be the best option, both in quality (real and simulated) and speed." @default.
- W4308234329 created "2022-11-09" @default.
- W4308234329 creator A5056424554 @default.
- W4308234329 date "2022-10-16" @default.
- W4308234329 modified "2023-09-30" @default.
- W4308234329 title "Practical Bulk Denoising Of Large Binary Images" @default.
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- W4308234329 doi "https://doi.org/10.1109/icip46576.2022.9897678" @default.
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