Abstract: Described is a technique for a backup and restoration of data in a network that includes a multi-lingual file system and a multi-lingual network file server. Multiple meta data files are associated with a single data file in the network. Provided are services for packaging the metadata as a single parameter of an application programming interface (API) for a particular data file being backed up or restored over a network. These techniques may be used in both full and incremental backups and restores of data over a network.

Abstract: Described is a technique for a backup and restoration of data in a network that includes a multi-lingual file system and a multi-lingual network file server. Multiple meta data files are associated with a single data file in the network. Provided are services for packaging the metadata as a single parameter of an application programming interface (API) for a particular data file being backed up or restored over a network. These techniques may be used in both full and incremental backups and restores of data over a network.

Abstract: A method of filtering images with a filter that is dependent on image type. For binary images, a fixed Laplacian filter is used for all pixels. For non-binary images, an automatic level-sensitive Laplacian filter is used. For non-binary images, Laplacian filter coefficients and normalization divisors are made a function of intensity on a pixel by pixel basis. Pixels indicating a high intensity may be greatly changed by neighboring pixels. Pixels indicating a low intensity receive relatively little or no filtering. In a specific example embodiment, the intensity range is divided to bands, with a different filter for each band. The resulting images are visually sharpened (edge enhanced) with very little impact in darker areas of the image.