Research on Non-local Multi-scale Fractional Differential Image Enhancement Algorithm

Guo HUANG; Li XU; Qingli CHEN; Yifei Pu

doi:10.11999/JEIT190032

Volume 41 Issue 12

Dec. 2019

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Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(12): 2972-2979

Guo HUANG, Li XU, Qingli CHEN, Yifei Pu. Research on Non-local Multi-scale Fractional Differential Image Enhancement Algorithm[J]. Journal of Electronics & Information Technology, 2019, 41(12): 2972-2979. doi: 10.11999/JEIT190032

Citation:

Guo HUANG, Li XU, Qingli CHEN, Yifei Pu. Research on Non-local Multi-scale Fractional Differential Image Enhancement Algorithm[J]. Journal of Electronics & Information Technology, 2019, 41(12): 2972-2979. doi: 10.11999/JEIT190032

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Research on Non-local Multi-scale Fractional Differential Image Enhancement Algorithm

doi: 10.11999/JEIT190032

Guo HUANG¹,
Li XU^{2, 3
,
,},
Qingli CHEN¹,
Yifei Pu³

1.
Sichuan Province University Key Laboratory of Internet Natural Language Intelligent Processing, Le shan Normal University, Leshan 614000, China
2.
School of Physics and Electronics, Le shan Normal University, Leshan 614000, China
3.
School of Computer Science, Sichuan University, Chengdu 610064, China

Funds: The National Natural Science Foundation of China (61201438), The Sichuan Province Science and Technology Department Application Foundation Project (2016JY0238), The Sichuan Province Education Department Key Projects (18ZA0235), The Sichuan Province Education Department General Project (18ZB0268, 18ZB0266), The Research Fund of Leshan Normal University (JG2018-1-04)

Received Date: 2019-01-15
Rev Recd Date: 2019-07-31

Available Online: 2019-08-30

Publish Date: 2019-12-01

Abstract

Abstract

In order to enhance the useful information in the image and improve the visual effect of the image, a Non-local Multi-scale Fractional Differential(NMFD) image enhancement operator is proposed. The operator divides the image into several sub-images and calculates the edge intensity coefficient, entropy value and roughness of each sub-image, and the obtained feature data are normalized in a unified scale in the global image range. Then, the normalized data are weighted to be the non-local eigenvalues of the image. Finally, an exponential function is used to establish the non-linear quantization relationship between image detail features and the value of fractional order. Thus, the fractional order of different scales can be determined in different image sub-block regions, so that the non-local multi-scale image enhancement model is realized.
- Image enhancement,
- Non-local Multi-scale Fractional Differential (NMFD) operator,
- Image entropy,
- Image contrast

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References(16)

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