Feb 19, 2019 · This paper develops a novel adaptive gradient-based block compressive sensing (AGbBCS_SP) methodology for noisy image compression and ...
This paper develops a novel adaptive gradient-based block compressive sensing (AGbBCS_SP) methodology for noisy image compression and reconstruction.
Experimental results with different image sets indicate that the AGbBCS_SP method is able to achieve better performance, in terms of peak signal to noise ...
Abstract This paper develops a novel adaptive gradient-based block compressive sensing (AGbBCS_SP) methodology for noisy image compression and reconstruc-.
This part of adaptive sampling mainly improves the overall image quality through designing the block sampling rate by means of variance and local saliency (LS).
Abstract This paper develops a novel adaptive gradient-based block compressive sensing (AGbBCS SP) methodology for noisy image compression and reconstruc-.
May 16, 2019 · This paper develops a novel adaptive gradient-based block compressive sensing (AGbBCS_SP) methodology for noisy image compression and ...
Jul 31, 2021 · Firstly, each video frame is blocked and measured by the BCS scheme, and then the mean and variance of each image block are estimated by ...
The proposed method performs block-based multiple compressive sampling after decomposing the sparse signal into feature and non-feature regions using simple ...
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