Lossy compression of noisy remote sensing images with prediction of optimal operation point existence and parameters
AN Zemliachenko, SK Abramov… - Journal of Applied …, 2015 - spiedigitallibrary.org
We address lossy compression of noisy remote sensing images, where the noise is
supposed to be spatially uncorrelated (white), additive originally or after a proper variance …
supposed to be spatially uncorrelated (white), additive originally or after a proper variance …
Preliminary filtering and lossy compression of noisy remote sensing images
AN Zemliachenko, SK Abramov… - Image and Signal …, 2018 - spiedigitallibrary.org
Compression is a typical stage in processing of remote sensing images. Here we consider
lossy compression of images that contain noise. Then, there are, at least, two approaches–to …
lossy compression of images that contain noise. Then, there are, at least, two approaches–to …
Approaches to automatic data processing in hyperspectral remote sensing
VV Lukin, SK Abramov… - Telecommunications …, 2014 - dl.begellhouse.com
In hyperspectral imaging, one has to deal with huge amount of data at different stages of
their processing both on-board and on-land. Due to this, high degree of automation is …
their processing both on-board and on-land. Due to this, high degree of automation is …
[PDF][PDF] Enhancement of Component Images of Multichannel Data by Denoising with Reference
Multichannel (multispectral, hyperspectral) remote sensing data may include junk
component images which have quality considerably worse than other components. This can …
component images which have quality considerably worse than other components. This can …
What could be after HEVC?
V Potapov, N Shlyakhov, A Silantiev… - 2013 9th International …, 2013 - ieeexplore.ieee.org
A review of HEVC/H. 265 main characteristics and some tendencies of video coding
standard evolution are given. Some ideas how to improve the efficiency of video coding …
standard evolution are given. Some ideas how to improve the efficiency of video coding …