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Exact(11)
In this letter, a novel approach inspired by human visual system (HVS) is presented.
Currently, inspection of wheat in the United States for grade and class is performed by human visual analysis.
When stacking a qualified set of transparencies, the gray level version of secret content can be revealed by human visual system.
Advances in understanding action recognition at the neural level have not always translated into precise accounts of the computational principles underlying what representations of action sequences are constructed by human visual cortex.
But, it is hard to detect the forged image keeping the constraints by human visual system.
In our analysis, we have used two quality metrics inspired by human visual system (HVS).
Similar(49)
This investigation is driven by true human visual perception (not MSE, SNR, or a visually based computed distortion metric).
It remains unclear, however, whether the representations and learning processes discovered by current models aresimilar to those used by the human visual system.
A visual secret sharing (VSS) technique constructed by random grids (RG) aims at encrypting a secret image into several shared ones and, later, reconstructing the secret by stacking the shared images to be recognized by the human visual system.
But one may ask then, what are the fundamental EFs used by the human visual system?
For example, an image is a two-dimensional signal that is perceived by the human visual system.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com