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Low-illumination image enhancement model and method, electronic equipment and storage medium

An image enhancement, low-light technology, applied in the field of image processing, can solve the problem of unsatisfactory image enhancement effect, and achieve the effect of improving robustness, ensuring interpretability, and ensuring flexibility

Pending Publication Date: 2022-06-17
SHENZHEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a low-light image enhancement model, method, electronic equipment and storage medium, aiming to solve the problem that the image enhancement effect in the prior art is not ideal

Method used

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  • Low-illumination image enhancement model and method, electronic equipment and storage medium
  • Low-illumination image enhancement model and method, electronic equipment and storage medium
  • Low-illumination image enhancement model and method, electronic equipment and storage medium

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Embodiment 1

[0046] Figure 1A The structure of the low-light image enhancement model provided by the first embodiment of the present invention is shown. The low-light image enhancement model includes a low-light image enhancement model including an initialization module 11, an optimization module 12, an illumination adjustment module 13, and an image reconstruction module connected in sequence. 14; Wherein, the initialization module is used to initialize and decompose the input image, and obtain the initialization illumination layer and the initialization reflection layer corresponding to the input image; , to obtain the optimized illumination layer and the optimized reflection layer; the illumination adjustment module is used to adjust the illumination of the optimized illumination layer to obtain the target illumination layer; the image reconstruction module is used to reconstruct the image according to the target illumination layer and the optimized reflection layer to obtain the target ...

Embodiment 2

[0100] This embodiment further illustrates the low-light enhancement model described in Experimental Example 1 in combination with the experimental example:

[0101] This experimental example subjectively and objectively evaluates the unfolding-based low-light image enhancement model described in Embodiment 1 on two public low-light image enhancement test sets. The two representative datasets are the LOL dataset and the SICE dataset, respectively. This experimental example uses common reference indicators to evaluate image quality, namely MeanAbsolute Error (MAE), Structural Similarity (SSIM), Peak Signal to Noise Ratio (PSNR) and Learned Perceptual Image Patch Similarity (LPIPS). A good model should have high PSNR and SSIM metric scores, but low MAE and LPIPS scores. This experimental example compares the low-light image enhancement model proposed in Example 1 with some existing benchmark models, these benchmark models are LIME, NPE, SRIE, RRM, LR3M, Retinex-Net, KinD, Zero-...

Embodiment 3

[0112] Embodiment 3 of the present invention is implemented based on the low-light image enhancement model described in Embodiment 1, image 3 The implementation process of the low-light image enhancement method provided by the third embodiment of the present invention is shown. For the convenience of description, only the part related to the embodiment of the present invention is shown, and the details are as follows:

[0113] In step S301, the input image is initialized and decomposed by the initialization module, and the initialized illumination layer and the initialized reflection layer corresponding to the input image are obtained.

[0114] In the embodiment of the present invention, the above-mentioned input image is a low-light image to be image-enhanced. Considering that variable initialization plays an important role for iterative optimization algorithms (such as ADMM), the input image can be initialized and decomposed using commonly used all-zero initialization decom...

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Abstract

The invention is suitable for the technical field of image processing, and provides a low-illumination image enhancement model and method, an electronic device and a storage medium, the low-illumination image enhancement model comprises an initialization module, an optimization module, an illumination adjustment module and an image reconstruction module which are connected in sequence, and the initialization module is used for performing initialization decomposition on an input image; the initialization module is used for initializing the illumination layer and the reflection layer to obtain an initialized illumination layer and an initialized reflection layer, the optimization module is used for carrying out alternative iteration optimization on the initialized illumination layer and the initialized reflection layer by adopting a unfolding algorithm to obtain an optimized illumination layer and an optimized reflection layer, and the illumination adjustment module is used for carrying out illumination adjustment on the optimized illumination layer to obtain a target illumination layer. And the image reconstruction module is used for carrying out image reconstruction according to the target illumination layer and the optimized reflection layer to obtain a target illumination image, so that the flexibility and the interpretability of the low-illumination image enhancement model are ensured, and the robustness of the low-illumination image enhancement model is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a low-light image enhancement model, method, electronic device and storage medium. Background technique [0002] Visual perception is one of the most important ways for humans to understand the world. With the rapid development of society, people's demand for information is also increasing. In practical applications, there are often unpredictable situations that cause image quality degradation. . In these degraded situations, low-light images are always one of the hot issues of the computer society, especially in the fields of urban traffic, surveillance video, medical assistance and so on. Low-light images are often caused by insufficient light intensity or too short exposure time, resulting in low overall pixel intensity and low contrast of the captured image, and a large number of details are not visible, which seriously affects the visual experience and ...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06V10/80G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/253G06T5/90G06T5/70
Inventor 王旭翁键邬文慧
Owner SHENZHEN UNIV
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