A set of low-level descriptors for images affected by foxing

Old printed photos are affected by several typical damages, due to age and bad preservation. “Foxing” defects look like red-brownish spots onto the paper of the printed photo. Similar features can be seen in the digitized copies. In this paper we propose a set of low level descriptors to extract features from digitized photos affected by foxing. An image retrieval application, based on information extracted by the proposed descriptors, is developed to discriminate, through comparison, if an image is affected by foxing. Results are compared to those obtained using some standard color descriptors.