Wavelets for Texture Description in Nephele System

In our paper we introduce comprehensive solution for processing and archiving information about artwork specimens used in the course of art restoration – Nephele. The information processing based on image data is used in the procedure of identification of pigment and binder present in the artwork, which is very important issue for restorers. Proposed approach geometrically aligns images of microscopic cross-sections of artwork color layers – image registration,and then creates preliminary color layer segmentation. The archiving part of the Nephele enables creating database entries for painting materials research database, their storage, and creating text-based queries. In addition to these traditional database functions, advanced report retrieval is supported; based on the similarity of image data, comparing either the ultraviolet and visual spectra images, and the electron microscopy images. The wavelet decomposition of the latter images provides basis for material characterization using features computed from the decomposed data.