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Multiple Testing Approaches for Removing Background Noise from Images

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Publication:2787362
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DOI10.1007/978-1-4939-0569-0_10zbMath1332.62372OpenAlexW132840168MaRDI QIDQ2787362

Subhashis Ghosal, John Thomas White

Publication date: 25 February 2016

Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-1-4939-0569-0_10


zbMATH Keywords

image denoisingmultiple testingmultiscale representationGaussian mixture modelBayesian approachbackground noise


Mathematics Subject Classification ID

Random fields; image analysis (62M40) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)





Cites Work

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  • Multiscale likelihood analysis and complexity penalized estimation.
  • Exchangeable and partially exchangeable random partitions
  • A statistical multiscale framework for Poisson inverse problems
  • Bayesian Smoothing of Photon-Limited Images with Applications in Astronomy
  • Predicting False Discovery Proportion Under Dependence
  • Bayesian Multiscale Models for Poisson Processes




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