Hewlett-packard Development Company, L.p.

Purdue Research Foundation

Randall G Guay

Mark Edward Shaw

Jan Philip Allebach

Gaurav Sharma

David C Day

Aravindh B S Rajagopalan

Cheng Lu

A device includes a processor and associated memory; and a compressor for compressing data representing an electronic document, the electronic document comprising a number of objects. The compressor is to determine for each object of the document whether data of that object is to be compressed with lossy or lossless compression and to compress the data accordingly to generate a compressed electronic document.

Compressing each object in an electronic document

In one embodiment, computer readable instructions for: displaying together in a single display a group of user selectable icons each representing a discrete color scheme for printing an image; and then, in direct response to a user selecting one of the icons, displaying a color preview of the image as the image will appear when printed with the selected color scheme. In another embodiment, computer readable instructions for: allowing a user to select a color scheme, which selects a first color profile; allowing the user to select a printer, which selects a second color profile; identifying a third color profile for a display device; transforming image source data into image print data using the first and second color profiles; transforming the image print data into image display data using the second and third color profiles; and displaying the image on the display device using the image display data.

Print color management

A color look-up table (CLUT) is compressed in a lossless manner. The CLUT includes nodes that convert values of a first color space to corresponding values of a second color space. The CLUT is received in a serialized node-by-node manner. For each of some of the nodes, the following is performed in the order in which the nodes are received in the serialized node-by-node manner. First, a difference value is determined that represents compression of a value of the node, in accordance with a hierarchical differential encoding approach or in accordance with a cellular interpolative prediction approach. Second, the difference value is stored in lieu of the value of the node being stored, to compress the value of the node in the lossless manner.

Lossless compression of color look-up table via hierarchical differential encoding or cellular interpolative prediction

Growing community of inventors

Meridian, ID, United States of America

Randall G Guay