Abstract: The image data processing system and method disclosed, processes intermediate compressed binary data representing images scanned for copy or exporting, thereby enabling storage of the copy or export file to a common memory storage device. According to an exemplary embodiment, the image data processing system comprises a binary lossless decompress module, a binary to contone restoration module, and an export processing module, the export processing module processing multiple bit image data for exporting to an image data receiving device.

Abstract: Training sets consisting of pairs of input images and desired images can be used to produce maps intended for future use in transforming input images into final images. The maps, however, often have improper elements based on incomplete or noisy data. The noisy data and incomplete can be identified via statistics derived from the training set. The map can output a code value instead of a substitution for an improper element. An additional stage of image transformation can identify improper pixels having the code value and replace the code value with an analytic value that is more appropriate.

Abstract: A method and system to convert an electronic image file described in a page description language containing both contone and non-contone image objects to an intermediate binary format image. The intermediate format image separately encodes the contone and non-contone image objects. The contone image objects are edge-tagged. Prior to printing, the intermediate binary format page image is separated into the contone and non-contone image objects. The contone image objects are converted back to a contone form using the edge tagging to modify the filter weights of a digital filter. The non-contone image objects are converted to contone form by means of a pattern matching scheme.

Abstract: A method and system for processing an image in a digital reprographic system that performs a first segmentation process upon a contone digital image to identify one of a plurality of image data types for each pixel in the contone digital image, generating tags, binarizing the contone digital image and storing the binary image as an intermediate format. This binary image is later reconstructed to generate a reconstructed contone digital image; and performing a second segmentation process upon the reconstructed contone digital image to identify areas of the reconstructed contone digital image with common image data types.

Abstract: One embodiment is a method for suppressing background inaccuracies in binary to grayscale image conversion. A binary image is converted to a grayscale image using a neighbor map. An image enhancement function is applied to the grayscale image to supress background inaccuracies in the grayscale image. Another embodiment is method for converting a binary pixel of a binary image to a grayscale pixel of a grayscale image and suppressing noise in the grayscale image using selective filtering of the binary image. Another embodiment is a method for converting a binary image to a first grayscale image and suppressing noise in the first grayscale image to produce a noise suppressed grayscale image using selective filtering of the grayscale image.