Abstract: A method of automatic mapping of image data includes representing image data for an image as luminance values, determining a key value as a function of an average luminance value of the image and of minimum and maximum luminance values of the image, generating offset-adjusted luminance values including applying an offset to each of the luminance values, the offset being a function of the determined key value, and computing a tone reproduction curve for at least a region of the image which includes applying a mapping function to the offset-adjusted luminance values.

Abstract: A method of automatic mapping of image data includes representing image data for an image as luminance values, determining a key value as a function of an average luminance value of the image and of minimum and maximum luminance values of the image, generating offset-adjusted luminance values including applying an offset to each of the luminance values, the offset being a function of the determined key value, and computing a tone reproduction curve for at least a region of the image which includes applying a mapping function to the offset-adjusted luminance values.

Abstract: A method for controlling a printer in a networked environment utilizes printer usage statistics and document features to determine whether to print a document or portion of a document. The networked environment includes printers, devices permitting the submittal of print job requests, a print server, and a document repository. The method includes receiving a job request to print a document from a device on the network and obtaining the document in digital form from the document repository or placing the document in digital form. Document and page specific information are extracted from the document. It is then determined whether printing of the document or a portion of the document is necessary based on analysis of the document and page specific information.

Abstract: In a system for updating a contacts database (42, 46), a portable imager (12) acquires a digital business card image (10). An image segmenter (16) extracts text image segments from the digital business card image. An optical character recognizer (OCR) (26) generates one or more textual content candidates for each text image segment. A scoring processor (36) scores each textual content candidate based on results of database queries respective to the textual content candidates. A content selector (38) selects a textual content candidate for each text image segment based at least on the assigned scores. An interface (50) is configured to update the contacts list based on the selected textual content candidates.

Abstract: An image is classified respective to JPEG compression history. An image signature is derived from the image. The image signature is indicative of spatial frequencies content of chrominance components of the image including spatial frequencies content associated with JPEG compression. The image is classified respective to whether the image has undergone JPEG compression based on analysis of the image signature.