Abstract:
The invention is directed to various calibration techniques for calibrating an imagining device such as a display device, a printer, or a scanner. The techniques may involve characterizing the imaging device with a device model such that an average error between expected outputs determined from the device model and measured outputs of the imaging device is on the order of an expected error, and adjusting image rendering on the imaging device to achieve a target behavior. The invention can achieve a balance between analytical behavior of the imaging device and measured output. In this manner, adjustments to image rendering may be more likely to improve color accuracy and less likely to overcompensate for errors that are expected.
Abstract:
An imaging technique permits selective flattening of objects within page description files. The selective aspect of the flattening may pertain to the selection of particular objects to be flattened, selection of the degree of flattening to be applied to objects, or both. In some embodiments, selective flattening of objects in a page description file may be permitted based on an assessment of color correction efficacy. For example, the degree of flattening may be iteratively adjusted to achieve acceptable color correction results. Alternatively, a user may be notified in the event acceptable color correction results have not been achieved. A color error between bitmap files generated from a color corrected, unflattened page description file and from a color corrected, flattened page description file may be measured. When the measured error between the two bitmaps exceeds a predetermined value, an amount of file flattening may be adjusted to reduce the measured error.
Abstract:
Improved color image display accuracy can be achieved across a computer network by obtaining information characterizing the color response of display devices associated with a client residing on the computer network, and using the information to modify color images delivered to the client. Display accuracy can be achieved in a network having multiple clients that submit images and multiple clients that receive images, such as in the case of an online auction or photo web site. The information can be obtained, for example, by guiding source clients who upload images and destination clients who download images through a color profiling process that profiles the color response of the display device. For example, such guidance may take the form of a series of instructional web pages that are delivered to the client. The web pages can be made interactive to enable collection of color characterization data from the client.
Abstract:
Techniques for customer charge accounting in a soft proofing system take into account one or more factors associated with a hard copy proofing job simulated by the soft proofing system. The charge for the soft proofing job can be correlated, at least in part, to the overall cost of the hard copy proofing job emulated by the soft proofing job. The factors use to calculate the customer charge for a soft proofing job may include, for example, comparable hard copy equipment costs (34), comparable hard copy media costs (36), hard copy delivery costs (40), avoidance of delivery and production delays relative to hard copy proofing, and the number of users that view the hard copy proofing job. A value scale factor may be applied to a base cost for a given soft proof, thereby yielding a cost (50) that can be charged to the customer.
Abstract:
In one embodiment, the invention is directed to soft proofing system that incorporates one or more of the features to promote controlled viewing conditions. For example, the invention can provide a soft proofing system in which an administrator can control the proofing process by limiting or restricting the ability to view an image until acceptable viewing conditions have been met. The image may have an associated set of viewing conditions that can be specified by the administrator. Then, when the image is sent to a viewing station, the ability to view the image can be restricted until one or more viewing conditions have been met at that viewing station. With controlled viewing conditions, the soft proof reviewers obtain more uniform output. In this manner, the system can provide safeguards to ensure that the images viewed at the viewing station have acceptable color accuracy.
Abstract:
A technique for profiling a color printing device employs a modified Neugebauer color mixing model. The modeling technique makes use of a variable dot gain value and "n factor." The variable dot gain adjustment value may vary according to the particular tristimulus channel under evaluation. In addition, the variable dot gain value may vary according to the particular Neugebauer primary over which a halftone dot is printed. Accordingly, the technique may rely on an array of different dot gain values and n factors that correspond to different combinations of color channels and overprint conditions. As a further feature, the techniques may rely on a dot gain formula that relates halftone dot variation, i.e., fringe thickness, to the size of the halftone dot. This relationship tends to produce a dot gain model that more closely resembles the actual dot gain behavior on a printing press.
Abstract:
Techniques for providing accurate output measurement and calibration in soft proofing systems incorporate one or more features to promote controlled viewing conditions. For example, a soft proofing system is described in which an administator can control the proofing process by limiting or restricting the ability to view an image until acceptable viewing conditions have been met. For example, the ability to view the image can be restricted until the viewing station has been calibrated using a calibration device known to support calibration of the viewing station to less than or equal to a maximum of error. With controlled viewing conditions and, more particularly, controlled calibration conditions, the soft proof reviewers obtain more uniform output. In this manner, the system can provide safeguards to ensure that the images viewed at the viewing station have acceptable color accuracy.
Abstract:
A method includes obtaining a chromatic correction for a display device based on a device-dependent display profile. The method may ensure that images that appear on a display device in a soft proofing environment will be visually equivalent to images that appear on print media.
Abstract:
Techniques for producing a color profile that characterize the color response of a color imaging device involve the use of a gray backing material. The gray backing material is placed behind a sheet of output media during measurement of color elements in a reference image formed on the output media. The gray backing material may be particularly useful for output media that is very thin or slightly transparent. In particular, unlike black or white backing materials, the gray backing material produces very little visual interference when the reference image is reproduced, providing a close visual match. Use of a gray backing material can support generation of more accurate color profiles.
Abstract:
Automated sharpening of images for soft proofing involves dynamic adjustment of the degree of sharpening applied to soft proof images based on the magnification factor applied by the display device. The appearance of image detail in a soft proof image can vary based on the magnification factor applied to the image. Sharpening of the original high resolution RGB image data may not be required if significant zooming is employed. When reduced magnification is required, however, much of the image detail can be lost. In this case, dynamic image sharpening helps to compensate for the reduced magnification, and thereby preserve the appearance of detail for the viewer. In particular, the degree of image sharpening may be adjusted in a generally inverse proportion to the magnification factor, providing an adaptive sharpening function.