A Near-Infrared-Driven Method for Mobile Image Enhancement

By installing a near-infrared spectral sensor on the smartphone terminal and establishing a joint decoupling module and a light and dark component embedding framework, the approximation of the shadow component is solved, and the problem of difficulty in effectively utilizing the near-infrared band information in the existing technology is solved, and the performance of mobile phone images is improved.

CN119693284BActive Publication Date: 2025-06-10NANJING UNIV
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Patent Information

Application Number
CN202510202938.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-02-24
Publication Date
2025-06-10
Estimated Expiration
2045-02-24

AI Technical Summary

Technical Problem

The prior art is difficult to effectively utilize additional near-infrared band information to realize its image enhancement potential on the smartphone side.

Method used

The mobile terminal is equipped with an additional near-infrared spectral sensor, which can approximate the shadow components of the real world outdoor environment through near-infrared band information, establish a joint decoupling module for information fusion, and establish a light and dark component embedding framework to embed the light and dark components into the image enhancement network.

Benefits of technology

By using near-infrared band information, the acquisition of shadow component information of outdoor scenes with more fine-grained size is achieved, the performance of mobile phone images is improved, and the difficulty of eigendefinition of real-world outdoor scenes is overcome.

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Abstract

The present invention provides a method for enhancing mobile phone imaging images driven by near-infrared, including: Step 1, an additional near-infrared spectral sensor is mounted on the mobile terminal to select the near-infrared spectral band; an RGB image is captured by the visible light camera of the mobile terminal, and a near-infrared image is obtained through the near-infrared spectral sensor; Step 2, a visible light and near-infrared joint decoupling module is established to map the near-infrared image and the RGB image to the same feature space, and then the light and dark components are output through a decoder; Step 3, a light and dark component embedding framework is established to embed the light and dark components into the image enhancement network in a plug-and-play manner to obtain the final enhanced result. The present invention can make full use of the additional near-infrared band information to provide a prior with clear physical information guidance for mobile phone imaging, and to a certain extent, can alleviate problems such as the dependence on data and poor interpretability of the end-to-end deep learning method.
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