Compound document page data processing

Facsimile and static presentation processing – Static presentation processing – Attribute control

Reexamination Certificate

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Details

C382S166000

Reexamination Certificate

active

06304339

ABSTRACT:

BACKGROUND OF THE INVENTION
1. Field of the Invention
The present invention relates generally to data processing and, more particularly, to data filtering and data compression for compound document pages including tristimulus spatial coordinate color image data.
2. Description of Related Art
Raster-based printers use a coding technique which codes each picture element, commonly called a “pixel,” of alphanumeric character text or a computer graphic into a digital data format. A “compound document” includes both text and graphics, for example, an advertising page having both text and photographs. Data compression is used to reduce a data set for storage and transfer. Compressed raster data is output by a computer for decompression and printing by a hard copy apparatus such as a laser printer or ink-jet printer, facsimile machine, or the like. Reductions in the amount of total data needed to transfer a so complete page data set compensates for limitations in input/output (“I/O”) data rates and I/O buffer sizes, particularly in a limited memory, hard copy apparatus that receives such raster-based data. With raster data, the goal is to reduce the quantity of data transferred without affecting the visual quality characteristics of the document page. The following descriptions assume knowledge of an average person skilled in the art of both raster-based printing and data compression techniques. As used herein the term “image data” refers to photographs or other digitally scanned, or otherwise produced, sophisticated graphics.
Computerized systems that utilize loss-less compression techniques generally do not perform well on image data. While computationally achieving a 100:1 compression on text and business graphics (line art, bar charts, and the like) data, these complex algorithms usually achieve less than a 2:1 compression of image data. As a corollary, while image data can be compressed effectively with a “lossy” algorithm without significantly affecting perceptible image quality (e.g., the JPEG industry standard for photographs—having a disadvantage of being relatively slow in and of itself), data compression solutions that rely solely on lossy algorithms visibly degrade text data (such as by leaving visual artifacts), even at relatively low levels of compression. Moreover, lossy compression techniques do not achieve the desirable high compression ratios. Still further, the advantages of JPEG-like compression over other techniques are reduced when compressing image data that have been scaled using a pixel-replication scaling algorithm common to rasterized compound documents (e.g., 150 dot-per-inch (“dpi”) image data scaled up to a resolution of 300-dpi or 600-dpi).
Solutions that use a mix of lossy and loss-less data compression are often slow and complex. For example, text and image data are sometimes separated to different channels, one containing the images using a lossy compression technique, like JPEG, and the other using a loss-less compression technique for text and simple business graphics. This separation of data into individual channels can be slow and the results are dependent on the architecture of the rasterization engine that initially rasterized the compound document. Moreover, the use of a lossy algorithm sometimes requires custom decompression hardware to achieve acceptable data processing speeds, which adds to the cost of a hard copy product. Again, the advantages of a JPEG-type algorithm are still reduced for images that have been scaled. Moreover, the relatively slow nature of JPEG is not improved even when compressing high resolution pixel replicated image data.
Thus, there is a need for a fast, raster-based, data compression technique for the transmission of compound documents, particulary useful for hard copy printing.
SUMMARY OF THE INVENTION
In its basic aspects, the present invention provides a method for filtering an image data subset of a page description data set, including the steps of: receiving a set of page description data including at least one image data subset; filtering image data of the image data subset by comparing adjacent pixels and coalescing adjacent pixels having substantially identical color values into pixel blocks wherein each of the pixel blocks is a plurality of pixels described by pixel block size, location in the image data subset, and an average of the substantially identical color values of the adjacent pixels.
In another basic aspect the present invention provides a method for filtering a data set of image raster data in the form of color space coordinate values for individual pixels, including the steps of: a) choosing a current pixel for filtering; b) comparing the current pixel to adjacent pixels; c) determining when adjacent pixels have a substantially identical color value; d) when the adjacent pixels do not have a substantially identical color value, choosing a new current pixel for filtering and returning to step b); e) when the adjacent pixels have a substantially identical color value, averaging the adjacent pixels and forming a pixel block therefrom having a single color space coordinate value therefor; f) comparing adjacent pixel blocks; g) when adjacent pixel blocks have a substantially identical color value, averaging the adjacent pixel blocks and forming a pixel super-block therefrom having a single color space coordinate value therefor; h) repeating steps b. through g. for the entire data set until either no substantially identical color value pixels or pixel blocks or pixel super-blocks are adjacently located or until a predetermined size pixel block or super-block of a predetermined grid size of pixels is created; and i) when adjacent pixel blocks do not have a substantially identical color value, choosing a new current pixel for filtering and returning to step b. For each pixel block comparison in a current series of comparing steps, the difference error value is reduced based on predetermined parameters.
In another basic aspect, the present invention provides a computer algorithm for filtering an image data set, including the steps of: operating on a predetermined number of rows of pixels of said image data set by comparing and coalescing individual the pixels into rectangular blocks of pixels such that each of the rectangular blocks has a single color space coordinate identifier wherein block sizes of a programmable predetermined size block are constructed and each of the rectangular blocks is complete when a color difference error value between adjacent blocks exceeds a programmable, variable, predetermined threshold such that a filtered image data set is formed from rectangular blocks of pixels; and replacing the image data set with the filtered image data set.
In still another basic aspect, the present invention provides a data compression method for compound document data, including the steps of: receiving a set of page description data representing a compound document page; extracting image data from the set of page description data; filtering the image data and outputting a filtered image data set; restoring the filtered image data set to the set of page description data; rasterizing the set of page description data having the filtered image data set and outputting a set of rasterized page description data; and compressing the rasterized page description data and outputting a set of compressed rasterized page description. The image data is reduced from individual pixels to pixel blocks representing groups of adjacent pixels having substantially identical color values.
In a further basic aspect, the present invention provides a computer memory having an image data filtering program including: means for receiving a set of page description data representing a compound document page; means for extracting image data from the set of page description data; means for filtering the image data and outputting a filtered image data set; means for restoring the filtered image data set to the set of page description data; means for rasterizing the set of page description data having the filtered image data set;

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