A Stereo Image Super-Resolution Reconstruction Method Based on Deep Interactive Learning
A technology of super-resolution reconstruction and stereo image, applied in the field of stereo image super-resolution reconstruction based on deep interactive learning, can solve the problem of ignoring the spatial correlation of complementary information and the correlation between viewpoints, and achieve the effect of strong feature expression ability
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[0026] In order to make the objectives, technical solutions and advantages of the present invention clearer, the embodiments of the present invention are further described in detail below.
[0027] A Stereo Image Super-Resolution Reconstruction Method Based on Deep Interactive Learning, see figure 1 , the method includes the following steps:
[0028] 1. Constructing the Spatial Feature Extraction Part
[0029] The input left and right views are divided into left and right branches, respectively, and the corresponding spatial feature expression f is extracted through spatial features. l and f r . Each branch can be regarded as a single-image super-resolution task, so the spatial feature extraction can use any single-image super-resolution model to extract features. In this embodiment of the present invention, the single-image super-resolution method MDSR (multiple image super-resolution method) The feature extraction part of scale-depth super-resolution) is used as a spatia...
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