An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving
This paper modifies the Adaptive Contrast Enhancement Algorithm with Details Preserving (ACEDP) technique by integrating a fuzzy element in the image type selection. The proposed technique, named the Adaptive Fuzzy Contrast Enhancement with Details Preserving (AFCEDP) technique, first computes the d...
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| Format: | Article |
| Language: | English |
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ITB Journal Publisher
2014
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| Online Access: | http://eprints.usm.my/38281/ http://eprints.usm.my/38281/1/An_Adaptive_Fuzzy_Contrast_Enhancement_Algorithm_with_Details_Preserving.pdf |
| _version_ | 1848878424604540928 |
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| author | Jing, Rui Tang Mat Isa, Nor Ashidi |
| author_facet | Jing, Rui Tang Mat Isa, Nor Ashidi |
| author_sort | Jing, Rui Tang |
| building | USM Institutional Repository |
| collection | Online Access |
| description | This paper modifies the Adaptive Contrast Enhancement Algorithm with Details Preserving (ACEDP) technique by integrating a fuzzy element in the image type selection. The proposed technique, named the Adaptive Fuzzy Contrast Enhancement with Details Preserving (AFCEDP) technique, first computes the degree of membership of the input image to three categories, i.e. low-, middle- or high-level images. The AFCEDP technique then clips the histogram at different plateau limits that are computed from both the degree of membership and the clipping functions. The classification of an image in the ACEDP technique is done based solely on the intensity range of the maximum number of pixels, which may be inaccurate. In the proposed AFCEDP technique, the image type classification is handled in a better way with the integration of a fuzzy element. The performance of the proposed AFCEDP technique was compared with the conventional ACEDP technique and several state-of-art techniques described in the literature. The simulation results revealed that the AFCEDP technique demonstrates good capability in contrast enhancement and detail preservation. In addition, the experiments using cervical cell images and HEp-2 cell images showed great potential of the AFCEDP technique as a technique for enhancing medical microscopic images. |
| first_indexed | 2025-11-15T17:31:07Z |
| format | Article |
| id | usm-38281 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T17:31:07Z |
| publishDate | 2014 |
| publisher | ITB Journal Publisher |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-382812018-01-08T07:24:40Z http://eprints.usm.my/38281/ An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving Jing, Rui Tang Mat Isa, Nor Ashidi TK1-9971 Electrical engineering. Electronics. Nuclear engineering This paper modifies the Adaptive Contrast Enhancement Algorithm with Details Preserving (ACEDP) technique by integrating a fuzzy element in the image type selection. The proposed technique, named the Adaptive Fuzzy Contrast Enhancement with Details Preserving (AFCEDP) technique, first computes the degree of membership of the input image to three categories, i.e. low-, middle- or high-level images. The AFCEDP technique then clips the histogram at different plateau limits that are computed from both the degree of membership and the clipping functions. The classification of an image in the ACEDP technique is done based solely on the intensity range of the maximum number of pixels, which may be inaccurate. In the proposed AFCEDP technique, the image type classification is handled in a better way with the integration of a fuzzy element. The performance of the proposed AFCEDP technique was compared with the conventional ACEDP technique and several state-of-art techniques described in the literature. The simulation results revealed that the AFCEDP technique demonstrates good capability in contrast enhancement and detail preservation. In addition, the experiments using cervical cell images and HEp-2 cell images showed great potential of the AFCEDP technique as a technique for enhancing medical microscopic images. ITB Journal Publisher 2014 Article PeerReviewed application/pdf en http://eprints.usm.my/38281/1/An_Adaptive_Fuzzy_Contrast_Enhancement_Algorithm_with_Details_Preserving.pdf Jing, Rui Tang and Mat Isa, Nor Ashidi (2014) An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving. Journal of ICT Research and Applications, 8 (2). pp. 126-140. ISSN 2337-5787 http://journals.itb.ac.id/index.php/jictra/article/view/697 |
| spellingShingle | TK1-9971 Electrical engineering. Electronics. Nuclear engineering Jing, Rui Tang Mat Isa, Nor Ashidi An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving |
| title | An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving |
| title_full | An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving |
| title_fullStr | An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving |
| title_full_unstemmed | An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving |
| title_short | An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving |
| title_sort | adaptive fuzzy contrast enhancement algorithm with details preserving |
| topic | TK1-9971 Electrical engineering. Electronics. Nuclear engineering |
| url | http://eprints.usm.my/38281/ http://eprints.usm.my/38281/ http://eprints.usm.my/38281/1/An_Adaptive_Fuzzy_Contrast_Enhancement_Algorithm_with_Details_Preserving.pdf |