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Polarization and visible light image fusion texture extraction method and device
Pending
CN122454220A
Pattern recognition
Texture extraction
The application provides a polarization and visible light
image fusion
texture extraction
method and device. A visible
light reflection
component is first extracted to screen a reliable
linear polarization
degree
image texture
and generate a preliminary fusion texture image. Then, a
deep learning
network model
is trained by taking the preliminary fusion texture as a supervised true value, combining a reasonable data enhancement method and a scientific training strategy, so as to eliminate residual block effects and noises in artificial textures. Finally, a fusion texture with high
information quantity
, high precision,
low noise
and low
block effect
is output. In this way, the complementary characteristics of the polarization and visible light images are fully utilized, the
texture extraction
result is clear and free of artifacts, and the method is suitable for
image fusion
,
edge detection
and other real complex scene image detail enhancement and
quality optimization
.
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Owner:
CENT SOUTH UNIV
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Light reflection
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Deep learning