Fusion‐based simultaneous estimation of reflectance and illumination for low‐light image enhancement
Abstract Low‐light image enhancement is a challenging field in image processing. Retinex‐based methods perform well for low‐light images. However, reflectance and illumination estimation is an ill‐posed problem. This paper presents a new framework for the simultaneous estimation of reflectance and i...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-05-01
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| Series: | IET Image Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ipr2.12114 |
| _version_ | 1828104837626068992 |
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| author | Anil Singh Parihar Kavinder Singh Hrithik Rohilla Gul Asnani |
| author_facet | Anil Singh Parihar Kavinder Singh Hrithik Rohilla Gul Asnani |
| author_sort | Anil Singh Parihar |
| collection | DOAJ |
| description | Abstract Low‐light image enhancement is a challenging field in image processing. Retinex‐based methods perform well for low‐light images. However, reflectance and illumination estimation is an ill‐posed problem. This paper presents a new framework for the simultaneous estimation of reflectance and illumination for low‐light image enhancement. The algorithm estimates multiple instances of illumination and reflectance and blends them to estimate the final components. The proposed approach uses multi‐scale fusion for illumination estimation and naive fusion for reflectance estimation. Extensive experimentation and analysis with a large set of low‐light images validates the performance of the proposed approach. The comparison shows the superiority of the proposed approach over most of the existing low‐light image enhancement methods. The proposed method provides colour constancy in low‐light image enhancement and preserves the naturalness of the image. |
| first_indexed | 2024-04-11T09:52:48Z |
| format | Article |
| id | doaj.art-3edbb6f8d0fb452daefa5ffb0345fbdf |
| institution | Directory Open Access Journal |
| issn | 1751-9659 1751-9667 |
| language | English |
| last_indexed | 2024-04-11T09:52:48Z |
| publishDate | 2021-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Image Processing |
| spelling | doaj.art-3edbb6f8d0fb452daefa5ffb0345fbdf2022-12-22T04:30:43ZengWileyIET Image Processing1751-96591751-96672021-05-011571410142310.1049/ipr2.12114Fusion‐based simultaneous estimation of reflectance and illumination for low‐light image enhancementAnil Singh Parihar0Kavinder Singh1Hrithik Rohilla2Gul Asnani3Department of Computer Science and Engineering Delhi Technological University Bawana New Delhi IndiaDepartment of Computer Science and Engineering Delhi Technological University Bawana New Delhi IndiaDepartment of Computer Science and Engineering Delhi Technological University Bawana New Delhi IndiaDepartment of Computer Science and Engineering Delhi Technological University Bawana New Delhi IndiaAbstract Low‐light image enhancement is a challenging field in image processing. Retinex‐based methods perform well for low‐light images. However, reflectance and illumination estimation is an ill‐posed problem. This paper presents a new framework for the simultaneous estimation of reflectance and illumination for low‐light image enhancement. The algorithm estimates multiple instances of illumination and reflectance and blends them to estimate the final components. The proposed approach uses multi‐scale fusion for illumination estimation and naive fusion for reflectance estimation. Extensive experimentation and analysis with a large set of low‐light images validates the performance of the proposed approach. The comparison shows the superiority of the proposed approach over most of the existing low‐light image enhancement methods. The proposed method provides colour constancy in low‐light image enhancement and preserves the naturalness of the image.https://doi.org/10.1049/ipr2.12114Optical, image and video signal processingComputer vision and image processing techniques |
| spellingShingle | Anil Singh Parihar Kavinder Singh Hrithik Rohilla Gul Asnani Fusion‐based simultaneous estimation of reflectance and illumination for low‐light image enhancement IET Image Processing Optical, image and video signal processing Computer vision and image processing techniques |
| title | Fusion‐based simultaneous estimation of reflectance and illumination for low‐light image enhancement |
| title_full | Fusion‐based simultaneous estimation of reflectance and illumination for low‐light image enhancement |
| title_fullStr | Fusion‐based simultaneous estimation of reflectance and illumination for low‐light image enhancement |
| title_full_unstemmed | Fusion‐based simultaneous estimation of reflectance and illumination for low‐light image enhancement |
| title_short | Fusion‐based simultaneous estimation of reflectance and illumination for low‐light image enhancement |
| title_sort | fusion based simultaneous estimation of reflectance and illumination for low light image enhancement |
| topic | Optical, image and video signal processing Computer vision and image processing techniques |
| url | https://doi.org/10.1049/ipr2.12114 |
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