A Novel Enhancement Algorithm Combined with Improved Fuzzy Set Theory for Low Illumination Images
A novel enhancement method of global brightness modulation and local contrast enhancement combined with the improved fuzzy set theory is proposed for color image contrast enhancement. The proposed method consists of three stages. Firstly, putting forward nonlinear global brightness mapping model adj...
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| Veröffentlicht in: | Mathematical problems in engineering 2016-01, Vol.2016 (2016), p.1-9 |
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| container_title | Mathematical problems in engineering |
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| creator | Tong, Gang Wang, Guan-jun Wu, Zhi-yong Yun, Hai-jiao Yang, Hua |
| description | A novel enhancement method of global brightness modulation and local contrast enhancement combined with the improved fuzzy set theory is proposed for color image contrast enhancement. The proposed method consists of three stages. Firstly, putting forward nonlinear global brightness mapping model adjusts dynamic range of images for luminance component V of H S V color space. Secondly, membership function is established in stages to adjust local contrast of image details nonlinearly based on fuzzy set theory. Finally, the enhanced images are transformed from H S V color space into R G B color space. The experiments further show that the proposed method has the shortest processing time, the highest AIC values, and the least NIQE values among the other four conventional methods. It has excellent effect, which can enhance the global brightness and local contrast, and advance visibility of low illumination images. |
| doi_str_mv | 10.1155/2016/8598917 |
| format | Article |
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The proposed method consists of three stages. Firstly, putting forward nonlinear global brightness mapping model adjusts dynamic range of images for luminance component V of H S V color space. Secondly, membership function is established in stages to adjust local contrast of image details nonlinearly based on fuzzy set theory. Finally, the enhanced images are transformed from H S V color space into R G B color space. The experiments further show that the proposed method has the shortest processing time, the highest AIC values, and the least NIQE values among the other four conventional methods. 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It has excellent effect, which can enhance the global brightness and local contrast, and advance visibility of low illumination images.</description><subject>Adjustment</subject><subject>Algorithms</subject><subject>Brightness</subject><subject>Color</subject><subject>Color imagery</subject><subject>Fuzzy set theory</subject><subject>Fuzzy sets</subject><subject>Illumination</subject><subject>Image contrast</subject><subject>Image enhancement</subject><subject>Mathematical models</subject><subject>Methods</subject><subject>Quality</subject><subject>Science</subject><subject>Set theory</subject><issn>1024-123X</issn><issn>1563-5147</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>BENPR</sourceid><recordid>eNqF0EFLwzAUB_AiCs7pzbMEvAhal5c0bXocY9PB0IMTvJW0TbaONtGkdWyf3owOBC-e3nvw4_HePwiuAT8CMDYiGOIRZylPITkJBsBiGjKIklPfYxKFQOjHeXDh3AZjAgz4IBBj9GK-ZY2mei10IRupWzSuV8ZW7bpBE9PklZYl2voRzZtP63GJZt1-v0NvskXLtTR2h5SxaGG2aF7XXVNp0VZGey5W0l0GZ0rUTl4d6zB4n02Xk-dw8fo0n4wXYUFT2oZlDCnnLBJE5RIUcFlgHhWp4HlCiH9CpSLBkOc8xzmhgpc4ZhBTRlTJCqLoMLjr9_obvzrp2qypXCHrWmhpOpcBJyziMUuZp7d_6MZ0VvvrMkhSylnCE-7VQ68Ka5yzUmWftmqE3WWAs0Pe2SHv7Ji35_c9X1e6FNvqP33Ta-mNVOJXA5AkAvoDr4GIlw</recordid><startdate>20160101</startdate><enddate>20160101</enddate><creator>Tong, Gang</creator><creator>Wang, Guan-jun</creator><creator>Wu, Zhi-yong</creator><creator>Yun, Hai-jiao</creator><creator>Yang, Hua</creator><general>Hindawi Publishing Corporation</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20160101</creationdate><title>A Novel Enhancement Algorithm Combined with Improved Fuzzy Set Theory for Low Illumination Images</title><author>Tong, Gang ; 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| source | Wiley Online Library Open Access; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Adjustment Algorithms Brightness Color Color imagery Fuzzy set theory Fuzzy sets Illumination Image contrast Image enhancement Mathematical models Methods Quality Science Set theory |
| title | A Novel Enhancement Algorithm Combined with Improved Fuzzy Set Theory for Low Illumination Images |
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