Each image was converted to YCrCb format, and only the luminance channel (Y) was used. This model can be extended to use the other channels as well. Extract sub-images: From the 91 images, sub-images ...
Abstract: Super-resolution (SR) aims to recover a high-resolution image from a single or multiple low-resolution images, compensating for the limitations of satellite sensor imaging. Deep ...
Abstract: Image super-resolution reconstruction is widely adopted for improving the resolution of low-resolution images and enhancing its visual effects. In this paper, we propose a Horizontal and ...
LFIC-DRASC is a deep learning model for light field image compression, which maintains spatial consistency through a special network structure, improving compression efficiency and visual quality.
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