Depth estimation-based HDR image reconstruction based on underexposure LDR image
A technology of depth estimation and image reconstruction, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as HDR reconstruction
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[0006] The present invention combines the knowledge of HDR reconstruction and depth estimation to design the model. The core idea of the present invention is to integrate depth estimation into the HDR image reconstruction model, and develop two connected deep neural networks to solve each task. Specific steps are as follows:
[0007] The first step is the HDR reconstruction network.
[0008] The method of directly inferring 32-bit HDR images from 8-bit LDR images is difficult to train with unsupervised learning. The HDR reconstruction network does not directly map LDR to HDR images, but uses an indirect method to generate LDR images with different exposures, and then Merge it into the HDR image. The specific method is to give the input LDR image, infer the LDR image with higher exposure than the input image from the given underexposed image, then output the overexposed image, and finally generate the final HDR image from these surrounded LDR images .
[0009] The second ...
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