Single image dehazing is a challenging ill-posed problem. It aims to estimate the latent haze-free image from the observed hazy image. In recent years, learning-based methods have demonstrated their ...
Efficient extraction of spectral-spatial features is essential for accurate hyperspectral image (HSI) classification, where capturing both local texture and global semantic relationships is critical.
FAME-Net dynamically adapts its masks for various image contents, integrating multiple expert outputs through a gating mechanism. In comparative analyses with existing state-of-the-art methods, ...
Computer-Controlled Sub-Aperture Polishing enables high-precision surface correction using small tools. Material removal is controlled by dwell time modulation along toolpaths, but the discontinuous ...
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