Abstract: A token generating organization may include distributed tokenization systems for generating tokens corresponding to sensitive information. Sensitive information may include sensitive numbers such as social security numbers, credit card numbers or other private numbers. A tokenization system may include multiple physically distinct hardware platforms each having a tokenization server and a database. A tokenization server may run portions of a sensitive number through a predetermined number of rounds of a Feistel network. Each round of the Feistel network may include tokenizing portions of the sensitive number using a fractional token table stored an associated database and modifying the tokenized portions by reversibly adding portions of the sensitive number to the tokenized portions. The fractional token table may include partial sensitive numbers and corresponding partial tokens.

Abstract: A system may include a point-of-sale system that gathers payment card track data from a payment card and a payment card gateway that processes the track data to authorize purchase transactions. The point-of-sale system may remove sensitive data such as a portion of a primary account number from the track data and may compress the removed data. The compressed version of the data may be appended to a discretionary field in the track data. The discretionary field may be encrypted following insertion of the compressed data. Track data that has been modified in this way may be conveyed to the payment gateway for processing.

Abstract: A system may include a point-of-sale system that gathers payment card track data from a payment card and a payment card gateway that processes the track data to authorize purchase transactions. The point-of-sale system may remove sensitive data such as a portion of a primary account number from the track data and may compress the removed data. The compressed version of the data may be appended to a discretionary field in the track data. The discretionary field may be encrypted following insertion of the compressed data. Track data that has been modified in this way may be conveyed to the payment gateway for processing.

Abstract: A system may include a point-of-sale system that gathers payment card track data from a payment card and a payment card gateway that processes the track data to authorize purchase transactions. The point-of-sale system may remove sensitive data such as a portion of a primary account number from the track data and may compress the removed data. The compressed version of the data may be appended to a discretionary field in the track data. The discretionary field may be encrypted following insertion of the compressed data. Track data that has been modified in this way may be conveyed to the payment gateway for processing.

Abstract: A token generating organization may include distributed tokenization systems for generating tokens corresponding to sensitive information. Sensitive information may include sensitive numbers such as social security numbers, credit card numbers or other private numbers. A tokenization system may include multiple physically distinct hardware platforms each having a tokenization server and a database. A tokenization server may run portions of a sensitive number through a predetermined number of rounds of a Feistel network. Each round of the Feistel network may include tokenizing portions of the sensitive number using a fractional token table stored an associated database and modifying the tokenized portions by reversibly adding portions of the sensitive number to the tokenized portions. The fractional token table may include partial sensitive numbers and corresponding partial tokens.

Abstract: A token generating organization may include distributed tokenization systems for generating tokens corresponding to sensitive information. Sensitive information may include sensitive numbers such as social security numbers, credit card numbers or other private numbers. A tokenization system may include multiple physically distinct hardware platforms each having a tokenization server and a database. A tokenization server may run portions of a sensitive number through a predetermined number of rounds of a Feistel network. Each round of the Feistel network may include tokenizing portions of the sensitive number using a fractional token table stored an associated database and modifying the tokenized portions by reversibly adding portions of the sensitive number to the tokenized portions. The fractional token table may include partial sensitive numbers and corresponding partial tokens.

Abstract: A token generating organization may include distributed tokenization systems for generating tokens corresponding to sensitive information. Sensitive information may include sensitive numbers such as social security numbers, credit card numbers or other private numbers. A tokenization system may include multiple physically distinct hardware platforms each having a tokenization server and a database. A tokenization server may run portions of a sensitive number through a predetermined number of rounds of a Feistel network. Each round of the Feistel network may include tokenizing portions of the sensitive number using a fractional token table stored an associated database and modifying the tokenized portions by reversibly adding portions of the sensitive number to the tokenized portions. The fractional token table may include partial sensitive numbers and corresponding partial tokens.

Abstract: A system may include a point-of-sale system that gathers payment card track data from a payment card and a payment card gateway that processes the track data to authorize purchase transactions. The point-of-sale system may remove sensitive data such as a portion of a primary account number from the track data and may compress the removed data. The compressed version of the data may be appended to a discretionary field in the track data. The discretionary field may be encrypted following insertion of the compressed data. Track data that has been modified in this way may be conveyed to the payment gateway for processing.

Abstract: Apparatus and method for rapid interactive viewing of a digital image over a network. A client computer displays a view of an image. The image is originally resident on a server computer. The client computer maintains a cache, initially empty, of image blocks already obtained from the server. When the client computer is asked to render a view of a particular portion of the image at a particular resolution, it first ascertains if any image blocks in the image-block cache intersect the requested view. It then computes the residual area of the view resulting from subtracting out from the view the intersecting portions of cached image blocks, and, if the residual area is positive, downloads from the server computer a set of image blocks comprising the residual portion of the view at the given resolution.

Abstract: A system and method using inductive image generation with cached, state-specific image tiles for editing digital images. A computer system contains an archival digital image to be edited and viewed, a transformation state list, describing editing operations to be applied to the archival image in order to produce the current edited image rendition, and a viewing data set, describing the resolution, offset and extent of the current view of the current edited image rendition. The current view is constructed from a set of image tiles kept in a tile cache. In response to an instruction to generate the current view, the system identifies the requisite tiles, and then generates each tile by an inductive image generation process.

Abstract: A system and method using inductive image generation with cached, state-specific image tiles for editing digital images. A computer system contains an archival digital image to be edited and viewed, a transformation state list, describing editing operations to be applied to the archival image in order to produce the current edited image rendition, and a viewing data set, describing the resolution, offset and extent of the current view of the current edited image rendition. The current view is constructed from a set of image tiles kept in a tile cache. In response to an instruction to generate the current view, the system identifies the requisite tiles, and then generates each tile by an inductive image generation process.

Abstract: A computer system, medium and method is disclosed for controlling selection and deselection of selectable regions on a computer display screen by a cursor, in such a manner as to compensate for the effects of jitter in the cursor control device. The system, medium, and method utilize a hysteresis technique, to accomplish their objectives. In a system with hysteresis it takes more force to effect a state change than would normally be the case; a state is harder to enter than it would otherwise be, and a state, once entered, is harder to leave than it would otherwise be.

Abstract: A system for identifying and tagging anomalies, such as images of dust and scratches, in a digital image so that they can be removed from the image. The invention implements a technique for detecting anomalies designed to minimize the number of false positives, i.e., non-anomalous portions of the image falsely identified as anomalies. The technique bases the initial first-pass identification of anomalous image regions on the difference between the gradient of the image at each of a set of grid points in the image and the mean of the gradient of the image at nearby points. Thus a region is identified as anomalous if original image pixel values in its immediate neighborhood are more variable than they are in a larger neighborhood. This technique greatly reduces (when compared to the prior art) the identification of false positives in noisy regions of the image, such as the leaves of a tree in daylight or a pebbly beach.

Abstract: Systems and methods are provided for enhancing an image by removing defects or blemishes from the image. A user selects a region of one or more pixels to be altered or modified. Interpolation techniques are used to determine interpolated values for pixels in the selected region based on the values of pixels surrounding the selected region. Thereafter, a smoothing function determines new values for each pixel in the selected region based on the values of pixels adjacent to the pixel being smoothed. The smoothing function kernel is applied iteratively to the pixels in the selected region until the image is smoothed to a desired degree.