A synthetic method of a guide map for joint upsampling of high dynamic range images

Abstract

The invention requests to protect a synthetic method of a guide map for joint upsampling of high-dynamic-range images. The method comprises the following steps: step 1, acquiring N high-resolution pictures to be processed, respectively compressing the N high-resolution pictures to be processed to obtain low-resolution pictures to be processed, and adopting a high-dynamic-range image synthesis method to obtain low-resolution pictures with high dynamic ranges; Step 2, processing the N high-resolution images to be processed obtained in the step 1 to obtain N exposure images, calculating an additional factor for each exposure image, and performing synthesizing by adopting an HGI weighted average function to obtain a guide image HGI of the high dynamic range image combined with upsampling; Andstep 3, obtaining the high-resolution and high-dynamic-range picture by using a joint up-sampling algorithm through the low-resolution and high-dynamic-range picture obtained in the step 1 and the high-dynamic-range image obtained in the step 2 and the guide map HGI obtained by joint up-sampling. According to the invention, the high-dynamic image synthesis processing operation can be well compatible with various joint upsampling algorithms.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a synthesis technique of guided graphs used for joint upsampling of high dynamic range images. Background technique [0002] Compared with traditional images, high dynamic range has a wider dynamic range, which can fully display the details of light and shade in the same scene, and overcomes the problem of underexposure or overexposure in a single image. The most commonly used high dynamic range synthesis algorithm is usually to take several pictures with different exposure times for the same scene (hereinafter referred to as exposure combination), and then use the corresponding algorithm to synthesize them. This kind of high dynamic range image synthesis algorithm usually requires a large amount of calculation and a high synthesis time when faced with high-resolution images, and it is difficult to meet the application scenarios with high real-time performance. figure...

AI Technical Summary

Problems solved by technology

It can be seen from Figure 1 that the high dynamic range image The synthesis algorithm does not meet this condition, because the picture to be processed of the high dynamic range image is composed of multiple pictures, not a picture, and the existing joint upsampling algorithm cannot be directly used, so the joint upsampling algorithm cannot be used in the past. accelerate

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