Multi-exposure-image high-dynamic-range imaging method and system based on generative adversarial network

A technology of high dynamic range and imaging method, applied in biological neural network model, image communication, neural learning method, etc.

Active Publication Date: 2020-10-27
FUJIAN JIEYU COMP TECH
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Problems solved by technology

In addition, these models cannot restore their missing details well when there is large motion or obvious misalignment between low dynamic range images, and there are large saturation regions in motion regions

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  • Multi-exposure-image high-dynamic-range imaging method and system based on generative adversarial network
  • Multi-exposure-image high-dynamic-range imaging method and system based on generative adversarial network
  • Multi-exposure-image high-dynamic-range imaging method and system based on generative adversarial network

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[0055] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0056] It should be pointed out that the following detailed description is exemplary and is intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0057] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combina...

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Abstract

The invention relates to a multi-exposure-image high-dynamic-range imaging method and system based on a generative adversarial network. The method comprises the following steps: firstly, preprocessinga low-exposure image, a normal-exposure image, a high-exposure image and a reference high-dynamic-range image serving as a label with original resolution to obtain grouped low-exposure, normal-exposure, high-exposure and high-dynamic-range image blocks for training; designing a generator network for multi-exposure image high dynamic range imaging and a discriminator network for adversarial training; alternately training the generator network and the discriminator network to converge to Nash equilibrium by using grouped low-exposure, normal-exposure, high-exposure and high-dynamic-range imageblocks; and finally, inputting the low-exposure image, the normal-exposure image and the high-exposure image which are used for testing and have original resolutions into a converged generator networkto obtain a high-dynamic-range image prediction result output by the generator network. According to the invention, the quality of a high dynamic range image generated when obvious background movement or object movement exists among multiple exposure images can be improved.

Description

technical field [0001] The invention relates to the technical field of image and video processing, in particular to a method and system for high dynamic range imaging of multi-exposure images based on generative confrontation network. Background technique [0002] In different scenes, the dynamic range of natural brightness is often different, but most off-the-shelf digital cameras can only capture a limited dynamic range within the scene when shooting. There are specialized hardware devices that can be used to directly capture high dynamic range images of a scene, but these are usually too expensive to be widely available. In recent years, with the prevalence of mobile devices, it is highly desirable to use lightweight and low-cost monocular mobile cameras to capture high dynamic range in scenes to produce satisfactory photos covering a wide range of illumination. [0003] A popular way to accomplish HDR imaging is to combine several LDR images taken at different exposures...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/235H04N5/232G06N3/04G06N3/08
CPCG06N3/084H04N23/951H04N23/741G06N3/045
Inventor 牛玉贞吴建斌刘文犀
Owner FUJIAN JIEYU COMP TECH
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