Research on underwater image detail enhancement based on unsharp mask guided filtering

Fu Qingqing; Jing Chunlei; Pei Yanliang; Kan Guangming; Zhang Zhengbing; Wu Aiping

doi:10.3969/j.issn.0253-4193.2020.07.011

Volume 42 Issue 7

Nov. 2020

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Fu Qingqing，Jing Chunlei，Pei Yanliang, et al. Research on underwater image detail enhancement based on unsharp mask guided filtering[J]. Haiyang Xuebao，2020, 42(7)：130–138 doi: 10.3969/j.issn.0253-4193.2020.07.011

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Research on underwater image detail enhancement based on unsharp mask guided filtering

doi: 10.3969/j.issn.0253-4193.2020.07.011

Fu Qingqing^1
,,
Jing Chunlei²,
Pei Yanliang^{3, 4, 5},
Kan Guangming^{3, 4, 5},
Zhang Zhengbing^{1
,
,},
Wu Aiping¹

1.
Electronics & Information School, Yangtze University, Jingzhou 434023, China
2.
National Deep Sea Center, Qingdao 266237, China
3.
First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
4.
Key Laboratory of Marine Sedimentology and Environmental Geology, Ministry of Natural Resources, Qingdao 266061, China
5.
Laboratory for Marine Geology and Environment, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China

Received Date: 2019-06-21
Rev Recd Date: 2019-09-30

Available Online: 2020-11-18

Publish Date: 2020-07-25

Abstract

Abstract

To overcome the problem of the low contrast and blurred details of underwater images, we propose a method to enhance the details of underwater images based on unsharp mask guided filtering in this paper. Firstly, the original image is guided filtering to obtain a detail layer image, and the speckle noise in detail layer image is removed by the median filtering based on noise detection. Then the unsharp mask based on mean filtering is operated on the original image to obtain a sharpened image, which is used as guidance image to perform guided filtering on the original image, and the base layer image is obtained. It is magnified to boost the details so that the details of the output image are obtained. Finally, the filtered detail layer is magnified to boost the details, and the enhanced underwater image is the combination of the boosted detail layer and the base layer. The image processing results are compared and analyzed through three objective evaluation indexes: information entropy, local contrast and average gradient. Subjective and objective test results show that the proposed algorithm can effectively improve image contrast and detail information, which is beneficial to improve the accuracy of underwater image data interpretation.
- underwater image,
- guided filtering,
- detail enhancement,
- unsharp mask

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References(23)

References

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