Facsimile and static presentation processing – Static presentation processing – Data corruption – power interruption – or print prevention
Reexamination Certificate
1998-11-16
2002-04-16
Lee, Thomas D. (Department: 2724)
Facsimile and static presentation processing
Static presentation processing
Data corruption, power interruption, or print prevention
C358S296000
Reexamination Certificate
active
06373583
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 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 data compression method for color image raster data, including the steps of: retaining individual pixel image data values for each recorded pixel color value of the color image raster data set that is different from both a preceding row, same column, pixel and a horizontally adjacent, same row, preceding pixel; and for each retained pixel image data value, encoding individual pixel image data values for pixels in a no current pixel row with replacement data strings wherein the replacement data strings include a replacement positioning code and a replacement count code for replicating retained pixel image data values for subsequent raster data decompression as a group of substantially identical color value pixels.
In 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 including at least one image data subset; extracting image data from the set of page description data; filtering the image data for enhancing subsequent data compression and outputting a filtered image data set; recombining the filtered image data set with the set of page description data from which the image data was extracted; 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 data.
In yet another basic aspect, the present invention provides a computer memory having an image data compression program comprising: mechanisms for retaining individual pixel image data values for each recorded pixel color value of the color image raster data set that is different from both a preceding row, same column, pixel and a horizontally adjacent, same row, preceding pixel; and for each retained pixel image data value, mechanisms for encoding individual pixel image data values for pixels in a current pixel row with replacement data strings wherein the replacement data strings include a replacement positioning code and a replacement count code for replicating retained pixel image data values for subsequent raster data decompression as a group of substantially identical color value pixels.
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.
It is an advantage of the present invention that it provides data compression for documents with a mix of text, image data, and business graphics which can be compressed and decompressed quickly with high compression ratios.
It is an advantage of the present invention that it provides a near loss-less data compression and decompression.
It is an advantage of the present invention that it provides a data compression enhancement technique that can be tuned to trade image quality with compression ratio.
It is a further advantage of the present invention that it increases compression ratios for high resolution image data with substantially no perceptible image quality changes.
It is an advantage of the present invention that text and graphics portions of a compound document are compressed in a loss-less or near loss-less manner with high compression ratios.
It is a further advantage of the present invention that it is effective on images that have been scaled to a higher resolution through pixel replication.
It is another advantage of the present invention that no data sep
Miller Steven O
Wood Elden
Brinich Stephen
Lee Thomas D.
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