The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 10, 1998

Filed:

Oct. 21, 1996
Applicant:
Inventors:

Joseph Brown, Herndon, VA (US);

Brian Loch, Sterling, VA (US);

Assignee:

Vidar Systems Corporation, Herndon, VA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F / ;
U.S. Cl.
CPC ...
395109 ; 358447 ; 358455 ; 358458 ;
Abstract

A process for performing error diffusion to print an image with reduced visually apparent artifacts. The process involves a step of encoding selected pixels as binary values, and calculating error values corresponding to differences between modified intensity values of the pixels and predetermined threshold values. The calculated error values are diffused among four neighbors of each pixel in accordance with a predetermined ordered set of weighting factors. The set of weighting values dictates that 4/8 of the error is diffused to one of the pixel neighbors, 1/8 of the error is diffused to a second pixel neighbor, 2/8 of the error is diffused to a third pixel neighbor, and 1/8 of the error is diffused to a fourth pixel neighbor. A random selection is made of one of the predetermined set of weight values as a starting weight value. The starting weight value is assigned to a predetermined one of the pixel neighbors. Based on the starting weight value, the process then involves selecting in an ordered fashion weight values of the predetermined set of weight values until all the predetermined weight values have been selected, and assigning each selected weight value to a predetermined one of the pixel neighbors. This process continues for all pixels of an input image.


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