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Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Image. Sensors 2018 ,2059.
Xavier Soria, Angel D. Sappa, & Riad Hammoud. (2018). Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Image. Sensors 2018 ,2059.Vol. 18(Issue 7).
Multi-spectral RGB-NIR sensors have become ubiquitous in recent years. These sensors allow the visible and near-infrared spectral bands of a given scene to be captured at the same time. With such cameras, the acquired imagery has a compromised RGB color representation due to near-infrared bands (700–1100 nm) cross-talking with the visible bands (400–700 nm). This paper proposes two deep learning-based architectures to recover the full RGB color images, thus removing the NIR information from the visible bands. The proposed approaches directly restore the high-resolution RGB image by means of convolutional neural networks. They are evaluated with several outdoor images; both architectures reach a similar performance when evaluated in different scenarios and using different similarity metrics. Both of them improve the state of the art approaches.
Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Image. Sensors 2018 ,2059.Xavier SoriaAngel D. SappaRiad Hammoudopenurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Frefbase.cidis.espol.edu.ec%2F&genre=article&atitle=Wide-Band%20Color%20Imagery%20Restoration%20for%20RGB-NIR%20Single%20Sensor%20Image.%20Sensors%202018%20%2C2059.&date=2018&volume=Vol.%2018&issue=Issue%207&aulast=Xavier%20Soria&au=Angel%20D.%20Sappa&au=Riad%20Hammoud&sid=refbase%3ACIDIScitekey:XavierSoria_etal2018Xavier Soria, Angel D. Sappa, & Riad Hammoud. (2018). Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Image. Sensors 2018 ,2059.Vol. 18(Issue 7).2018JournalArticletextfile:http://refbase.cidis.espol.edu.ec/files/xaviersoria/2018/96_XavierSoria_etal2018.pdf2018Vol. 18Issue 7