A Novel Shadow Removal Method Based upon Color Transfer and Color Tuning in UAV Imaging
Through the increasing use of unmanned aerial vehicles as remote sensing tools, shadows become evident in aerial imaging; this fact, alongside the higher spatial resolution obtained by high-resolution mounted cameras, presents a challenging issue when performing different image processing tasks rela...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/23/11494 |
| _version_ | 1827675088011395072 |
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| author | Gilberto Alvarado-Robles Francisco J. Solís-Muñoz Marco A. Garduño-Ramón Roque A. Osornio-Ríos Luis A. Morales-Hernández |
| author_facet | Gilberto Alvarado-Robles Francisco J. Solís-Muñoz Marco A. Garduño-Ramón Roque A. Osornio-Ríos Luis A. Morales-Hernández |
| author_sort | Gilberto Alvarado-Robles |
| collection | DOAJ |
| description | Through the increasing use of unmanned aerial vehicles as remote sensing tools, shadows become evident in aerial imaging; this fact, alongside the higher spatial resolution obtained by high-resolution mounted cameras, presents a challenging issue when performing different image processing tasks related to urban areas monitoring. Accordingly, the state-of-the-art reported works can correct the shadow regions, but the heterogeneity between the corrected shadow and non-shadow areas is still evident and especially noticeable in concrete and asphalt regions. The present work introduces a local color transfer methodology to shadow removal which is based on the CIE L*a*b (Lightness, a and b) color space that considers chromatic differences in urban regions, and it is followed by a color tuning using the HSV color space. The quantitative comparison was executed by using the shadow standard deviation index (SSDI), where the proposed work provided low values that improve up to 19 units regarding other tested methods. The qualitative comparison was visually realized and proved that the proposed method enhances the color correspondence without losing texture information. Quantitative and qualitative results validate the results of color correction and texture preservation accuracy of the proposed method against other published methodologies. |
| first_indexed | 2024-03-10T04:57:15Z |
| format | Article |
| id | doaj.art-6dc41d6c0208423da3b055213f6a7a8b |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T04:57:15Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-6dc41d6c0208423da3b055213f6a7a8b2023-11-23T02:09:10ZengMDPI AGApplied Sciences2076-34172021-12-0111231149410.3390/app112311494A Novel Shadow Removal Method Based upon Color Transfer and Color Tuning in UAV ImagingGilberto Alvarado-Robles0Francisco J. Solís-Muñoz1Marco A. Garduño-Ramón2Roque A. Osornio-Ríos3Luis A. Morales-Hernández4HSPdigital CA-Mecatronica Engineering Faculty, Autonomous University of Queretaro, San Juan del Rio 76806, MexicoHSPdigital CA-Mecatronica Engineering Faculty, Autonomous University of Queretaro, San Juan del Rio 76806, MexicoHSPdigital CA-Mecatronica Engineering Faculty, Autonomous University of Queretaro, San Juan del Rio 76806, MexicoHSPdigital CA-Mecatronica Engineering Faculty, Autonomous University of Queretaro, San Juan del Rio 76806, MexicoHSPdigital CA-Mecatronica Engineering Faculty, Autonomous University of Queretaro, San Juan del Rio 76806, MexicoThrough the increasing use of unmanned aerial vehicles as remote sensing tools, shadows become evident in aerial imaging; this fact, alongside the higher spatial resolution obtained by high-resolution mounted cameras, presents a challenging issue when performing different image processing tasks related to urban areas monitoring. Accordingly, the state-of-the-art reported works can correct the shadow regions, but the heterogeneity between the corrected shadow and non-shadow areas is still evident and especially noticeable in concrete and asphalt regions. The present work introduces a local color transfer methodology to shadow removal which is based on the CIE L*a*b (Lightness, a and b) color space that considers chromatic differences in urban regions, and it is followed by a color tuning using the HSV color space. The quantitative comparison was executed by using the shadow standard deviation index (SSDI), where the proposed work provided low values that improve up to 19 units regarding other tested methods. The qualitative comparison was visually realized and proved that the proposed method enhances the color correspondence without losing texture information. Quantitative and qualitative results validate the results of color correction and texture preservation accuracy of the proposed method against other published methodologies.https://www.mdpi.com/2076-3417/11/23/11494image shadow removalcolor correctionshadow eliminationunmanned aerial vehicleaerial imagingremote sensing |
| spellingShingle | Gilberto Alvarado-Robles Francisco J. Solís-Muñoz Marco A. Garduño-Ramón Roque A. Osornio-Ríos Luis A. Morales-Hernández A Novel Shadow Removal Method Based upon Color Transfer and Color Tuning in UAV Imaging Applied Sciences image shadow removal color correction shadow elimination unmanned aerial vehicle aerial imaging remote sensing |
| title | A Novel Shadow Removal Method Based upon Color Transfer and Color Tuning in UAV Imaging |
| title_full | A Novel Shadow Removal Method Based upon Color Transfer and Color Tuning in UAV Imaging |
| title_fullStr | A Novel Shadow Removal Method Based upon Color Transfer and Color Tuning in UAV Imaging |
| title_full_unstemmed | A Novel Shadow Removal Method Based upon Color Transfer and Color Tuning in UAV Imaging |
| title_short | A Novel Shadow Removal Method Based upon Color Transfer and Color Tuning in UAV Imaging |
| title_sort | novel shadow removal method based upon color transfer and color tuning in uav imaging |
| topic | image shadow removal color correction shadow elimination unmanned aerial vehicle aerial imaging remote sensing |
| url | https://www.mdpi.com/2076-3417/11/23/11494 |
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