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Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Images
Xavier Soria, Angel Sappa and Riad I. Hammoud. 2018. Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Images. SENS, 18(7), 2059.
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 ImagesXavier SoriaAngel SappaRiad I. Hammoudinfo:doi/10.3390/s18072059openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Frefbase.cvc.uab.es%2F&genre=article&atitle=Wide-Band%20Color%20Imagery%20Restoration%20for%20RGB-NIR%20Single%20Sensor%20Images&title=Sensors&stitle=SENS&date=2018&volume=18&issue=7&spage=2059&aulast=Xavier%20Soria&au=Angel%20Sappa&au=Riad%20I.%20Hammoud&id=info%3Adoi%2F10.3390%2Fs18072059&sid=refbase%3ACVCXavier Soria, Angel Sappa and Riad I. Hammoud. 2018. Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Images. SENS, 18(7), 2059.2018JournalArticletextRGB-NIR sensormultispectral imagingdeep learningCNNsurl:https://doi.org/10.3390/s18072059file:http://refbase.cvc.uab.es/files/SSH2018.pdfSensors20181872059