Analysis‐aware microscopy video compression
Author:
Affiliation:
1. University of North Carolina at Chapel HillChapel Hill North Carolina
Publisher
Wiley
Subject
Medical Laboratory Technology,Instrumentation,Histology,Anatomy
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/jemt.23025
Reference19 articles.
1. Fast and reliable structure-oriented video noise estimation
2. Compression of fluorescence microscopy images based on the signal-to-noise estimation
3. Chao J. &Steinbach E.(2011 September). Preserving SIFT features in JPEG‐encoded images. InImage Processing (ICIP) 2011 18th IEEE International Conference(pp.301–304). IEEE.
4. Chao J. &Steinbach E.(2012 September). SIFT feature‐preserving bit allocation for H. 264/AVC video compression. InImage Processing (ICIP) 2012 19th IEEE International Conference(pp.709–712). IEEE.
5. Chao J. Chen H. &Steinbach E.(2013 September). On the design of a novel JPEG quantization table for improved feature detection performance. InImage Processing (ICIP) 2013 20th IEEE International Conference(pp.1675–1679). IEEE.
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