The IFAC-CNR hyper-spectral imaging system acquires cube-images at very high spatial and spectral resolution in the 400-900 nm range. The obtained data are used to study the composition of artists' materials, for true-colour reproduction of paintings, and for documenting the characteristic of the underdrawings and pentimenti. The current reluctance to make more than limited use of cube-images is due to issues related to the need for efficient filing and computing systems and to the lack of specific image processing skills. The experimental client/server platform developed at IFAC-CNR can be a solution to the hyper-spectral data using issue. The proposed IFAC-CNR platform is presented in this paper.
CNR Retrieval of Images from Hyper-Spectral Data through Interactive Network Access (CRISTINA)
F Micheletti;L Stefani;C Cucci;M Picollo
2013
Abstract
The IFAC-CNR hyper-spectral imaging system acquires cube-images at very high spatial and spectral resolution in the 400-900 nm range. The obtained data are used to study the composition of artists' materials, for true-colour reproduction of paintings, and for documenting the characteristic of the underdrawings and pentimenti. The current reluctance to make more than limited use of cube-images is due to issues related to the need for efficient filing and computing systems and to the lack of specific image processing skills. The experimental client/server platform developed at IFAC-CNR can be a solution to the hyper-spectral data using issue. The proposed IFAC-CNR platform is presented in this paper.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.