Image Enhancement under Transformer Oil Based on Multi-Scale Weighted Retinex

QIANG Hu; ZHONG Yuzhong; DIAN Songyi

doi:10.11999/JEIT240645

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QIANG Hu, ZHONG Yuzhong, DIAN Songyi. Image Enhancement under Transformer Oil Based on Multi-Scale Weighted Retinex[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240645

Citation:

QIANG Hu, ZHONG Yuzhong, DIAN Songyi. Image Enhancement under Transformer Oil Based on Multi-Scale Weighted Retinex[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240645

QIANG Hu, ZHONG Yuzhong, DIAN Songyi. Image Enhancement under Transformer Oil Based on Multi-Scale Weighted Retinex[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240645

Citation:

QIANG Hu, ZHONG Yuzhong, DIAN Songyi. Image Enhancement under Transformer Oil Based on Multi-Scale Weighted Retinex[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240645

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Image Enhancement under Transformer Oil Based on Multi-Scale Weighted Retinex

doi: 10.11999/JEIT240645

1.
College of Electrical Engineering, Sichuan University, Chengdu 610065, China
2.
State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, Sichuan University, Chengdu 610065, China

Funds: The National Natural Science Foundation of China (62203314)

Received Date: 2024-07-23
Rev Recd Date: 2024-11-08

Available Online: 2024-11-13

Abstract

Abstract

To solve the degradation problems such as color distortion, low brightness, and detail loss in images under transformer oil, a multi-scale weighted Retinex algorithm for image enhancement is proposed in this paper. Firstly, in order to alleviate the color distortion problem of image under transformer oil, a hybrid dynamic color channel compensation algorithm is proposed, which dynamically compensates according to the attenuation state of each channel of the captured image. Then, in order to solve the problem of detail loss, a sharpening weight strategy is proposed. Finally, pyramid multi-scale fusion strategy is used to weighted fuse different-scale Retinex reflection components and corresponding weight maps to obtain clear images under transformer oil. Experimental results demonstrate that the algorithm proposed in this paper can effectively solve the complex degradation problem of image under transformer oil.
- Image enhancement under transformer oil,
- Retinex,
- Channel compensation,
- Multi-scale weighted

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References(26)

References

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