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Title: US6075926: Computerized method for improving data resolution
[ Derwent Title ]


Country: US United States of America

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23 pages

 
Inventor: Atkins, Brian; Mountain View, CA
Bouman, Charles A; West Lafayette, IN
Allebach, Jan P.; West Lafayette, IN
Gondek, Jay S; Camas, WA
Schramm, Morgan T; Portland, OR
Sliz, Frank W.; Vancouver, WA

Assignee: Hewlett-Packard Company, Palo Alto, CA
other patents from HEWLETT-PACKARD COMPANY (250060) (approx. 10,220)
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Published / Filed: 2000-06-13 / 1997-04-21

Application Number: US1997000837619

IPC Code: Advanced: G06T 3/40; G06T 5/20; G09G 5/373; H04N 1/387;
Core: G09G 5/36; more...
IPC-7: G06F 5/01;

ECLA Code: G06T3/40B;

U.S. Class: Current: 358/001.2; 382/260; 382/300;
Original: 395/102; 382/260; 382/300;

Field of Search: 382/205,225,299,300,260 395/102

Priority Number:
1997-04-21  US1997000837619

Abstract:     A data resolution synthesis algorithm takes low resolution source input data (e.g., data degraded from compression or data acquired from low quality imaging devices) to synthesize high resolution output data. In an exemplary embodiment for color printing, the algorithm is performed by characterizing a multi-pixel area, or window, around a pixel that can benefit from resolution enhancement. To interpolate to a high resolution output a set of spatial filters is applied to the data area based on the window characterization. The output of the resolution synthesizer is a set of multiple pixels for each input pixel, representing the source input pixel in a higher resolution enhanced version. The filters are chosen from a stored data base (generic or specifically applicable data base for each type input device) created to fit input/output device requirements.

Primary / Asst. Examiners: Au, Amelia; Miller, Martin E.

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Designated Country: AT BE CH CY DE DK ES FI FR GB GR IE IT LI LU MC NL PT SE 

Family: Show 13 known family members

First Claim:
Show all 16 claims
What is claimed is:     1. A computerized method for resolution enhancement of tristimulus color space input data, comprising the steps of:
  • determining if said input data is congruent with resolution enhancement;
  • selecting a target pixel of congruent input data represented by a first set of input data having a format of color space coordinates wherein each coordinate represents a color plane;
  • selecting a window of pixels, each of said pixels of said window represented by respective second sets of input data having a format of color space coordinates wherein each coordinate represents a color plane, said window of pixels having said target pixel as a center pixel;
  • providing a data base including classified groups of data enhancement filters, each of said classified groups of data enhancement filters having a first key representative of an imagery characteristic;
  • testing each color space coordinate of said window of pixels against at least one predetermined threshold value representative of a need for enhancement in the color plane of the target pixel coordinate, including
    • determining, color plane by color plane, individual imagery characteristic levels for each pixel of said window of pixels and for said target pixel,
    • determining a maximum imagery characteristic level of said window of pixels and a minimum imagery characteristic level of said window of pixels,
    • setting a first threshold value indicative of the minimum variance of said imagery characteristic across said window of pixels specifying a level above which enhancement is needed,
    • comparing said maximum imagery characteristic level and said minimum imagery characteristic level to the imagery characteristic level of said target pixel, and
    • when said step of comparing yields a value exceeding said first threshold value, continuing with steps of said method by
      • choosing a second imagery characteristic indicative of a visual perception factor,
      • setting a second threshold value specifying a level above which enhancement is needed,
      • determining the variance of said second imagery characteristic within said window of pixels, and
      • when said variance of said second imagery characteristic is above said second threshold value, continuing with said step of filtering; and
    • when testing of said target pixel coordinate does not exceed the predetermined threshold value, outputting a set of multiple pixels in substitution of said target pixel, said set consisting of pixels interpolated from said target pixel in a known manner, or
    • when testing of said target pixel coordinate exceeds the predetermined threshold value, filtering said pixels of said window with at least one group of data enhancement filters selected from said data base and replacing said target pixel with a plurality of smaller pixels based upon said filtering.


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Forward References: Show 19 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (19)   |   Backward references (22)   |   Citation Link

Buy
PDF
Patent  Pub.Date  Inventor Assignee   Title
Buy PDF- 9pp US3573789  1971-04 Sharp et al.  International Business Machines Corporation METHOD AND APPARATUS FOR INCREASING IMAGE RESOLUTION
Buy PDF- 13pp US4437122  1984-03 Walsh et al.  Xerox Corporation Low resolution raster images
Buy PDF- 14pp US4783840  1988-11 Song  Polaroid Corporation Method for enhancing image data by noise reduction or sharpening
Buy PDF- 18pp US4941190  1990-07 Joyce  Minnesota Mining and Manufacturing Company Method and system for enhancement of a digitized image
Buy PDF- 13pp US5151783  1992-09 Faroudja   Digital television with enhancement
Buy PDF- 33pp US5270836  1993-12 Kang  Xerox Corporation Resolution conversion of bitmap images
Buy PDF- 14pp US5282057  1994-01 Mailloux et al.  Xerox Corporation Bit-map image resolution converter
Buy PDF- 14pp US5377018  1994-12 Rafferty  Media Vision Video compression and decompression using block selection and subdivision
Buy PDF- 25pp US5446804  1995-08 Allebach et al.  Hewlett-Packard Company Magnifying digital image using edge mapping
Buy PDF- 36pp US5528339  1996-06 Buhr et al.  Eastman Kodak Company Color image reproduction of scenes with color enhancement and preferential tone mapping
Buy PDF- 17pp US5539866  1996-07 Banton et al.  Xerox Corporation Method and apparatus for accurately rendering half-bitted image pixels
Buy PDF- 22pp US5579445  1996-11 Loce et al.  Xerox Corporation Image resolution conversion method that employs statistically generated multiple morphological filters
Buy PDF- 19pp US5636290  1997-06 Kita et al.  Fuji Xerox Co., Ltd. Color image processing
Buy PDF- 8pp US5668895  1997-09 Yamazaki et al.  Nippon Precision Circuits Ltd. Digital filter for image processing
Buy PDF- 19pp US5671298  1997-09 Markandey et al.  Texas Instruments Incorporated Image scaling using cubic filters
Buy PDF- 21pp US5689343  1997-11 Loce et al.  Xerox Corporation Area mapping employing reference clusters for high quality noninteger resolution conversion with enhancement
Buy PDF- 12pp US5703618  1997-12 Eglit  Cirrus Logic, Inc. Method and apparatus for upscaling video images when pixel data used for upscaling a source video image are unavailable
Buy PDF- 26pp US5717789  1998-02 Anderson et al.  California Institute of Technology Image enhancement by non-linear extrapolation in frequency space
Buy PDF- 9pp US5734802  1998-03 Maltz et al.  Xerox Corporation Blended look-up table for printing images with both pictorial and graphical elements
  US5758034  1998-05 Loce et al.  Xerox Corporation Video path architecture including logic filters for resolution conversion of digital images
Buy PDF- 17pp US5778158  1998-07 Fujii et al.  Hewlett-Packard Company High speed system for image scaling
Buy PDF- 6pp US5796873  1998-08 Deane  Fujifilm Electronic Imaging Ltd. Image enhancement
       
Foreign References: None

Other Abstract Info: DERABS G1998-544847

Other References:
  • MIT Tech. Rpt. #234, Nov. 8-11, 1993, Novel cluster-based probability model for texture synthesis, classification, and compression, Popat and Picard.
  • 1994 IEEE 0-7803-1775-0/94, Cluster-Based Probability Model Applied to Image Restoration and Compression, Popat and Picard.
  • 1990 IEEE 0090-6778/90/0900-1285, Optimal Nonlinear Interpolative Vector Quantization, by Allen Gersho.
  • MIT MLPCS Tech. Report No. 351, Cluster-based probability model and its application to image and texture processing Popat and Picard, not dated.
  • The Hard Copy Observer, vol. VII No. 4, Apr. 1997, "HP and WebTV to Provide TV Set Top Printing Solution", pp. 2, 49-50.
  • William K. Pratt, Digital Image Processing, 2nd Edition, ISBN 0-471-85766-01, pp. 142-146, 1991.
  • Adobe Photoshop User Guide, Adobe Systems Inc., pp. 12-19, 1993.


  • Continuity Data:
    Application Number Filed Notes

    US2003000618979 2003-07-14  is a continuation of
    US2002000193931  2002-07-11   (pending) [presumed granted]
         US6683998 issued 2004-01-27   Apparatus and method of building an electronic database for resolution synthesis

    US2002000193931 2002-07-11  is a continuation of
    US1998000064638  1998-04-21   (granted)
         US6466702 issued 2002-10-15   Apparatus and method of building an electronic database for resolution synthesis

    US2003000618979 2003-07-14  is a continuation in part of
    >US1997000837619<  1997-04-21   (granted)
         US6075926 issued 2000-06-13   Computerized method for improving data resolution

    US1998000064638 1998-04-21  is a continuation in part of
    >US1997000837619<  1997-04-21   (granted)
         US6075926 issued 2000-06-13   Computerized method for improving data resolution


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