Halftoning by enhanced error diffusion

• US 6,870,642 B2
• Filed: 12/26/2001
• Issued: 03/22/2005
• Est. Priority Date: 11/02/1998
• Status: Expired due to Term

• Current Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Original Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Inventors: Ostromoukhov, Victor
• Primary Examiner(s): Lee, Thomas D.
• Assistant Examiner(s): BRINICH, STEPHEN M
• Application Number:
  US10/025,812
• Publication Number:
  US 20020051210A1
• Time in Patent Office: 1,182 Days
• Field of Search: 358 301- 305, 358 311- 314, 358/1.9, 358/3.21, 382251-253, 382/237
• US Class Current: 358/3.03
• CPC Class Codes: H04N 1/4053 with threshold modulated relative to input image data or vice versa

Abstract

Halftoning by error diffusion, enhanced so as to reduce the presence of structural artifacts in the halftoned output while avoiding an artificial increase in halftoning image noise. Specifically, error diffusion according to the invention divides the input gray level intensity range into different segments for purposes of both thresholding and error diffusion. Different error diffusion threshold masks are applied for each respective segment, and different error diffusion weights are applied for each respective segment, with a decision being made as to whether or not to apply a different threshold mask being based on the local image gradient.

Claims

1. A method for halftoning image data for each of plural pixels, comprising the steps of:

selecting one of plural threshold masks based on intensity of the image data for a target pixel plus an accumulated error;

determining a halftone output value for the target pixel based on a comparison between a threshold in the selected threshold mask and the image data plus accumulated error for the target pixel; and

diffusing error between the halftone output value and the image data plus accumulated error for the target pixel, the error being diffused to pixels adjacent the target pixel;

wherein each thresholding mask has only a limited number of threshold levels, with each different one of the plural threshold masks being provided for a different segment of the input intensity range.

2. A method according to claim 1, wherein a separate threshold mask is provided for each and every input intensity value.

3. A method according to claim 1, wherein the spread of values in each threshold mask varies based on its corresponding intensity level.

4. A method according to claim 3, wherein the spread increases at each intensity range corresponding to formation of artifacts.

5. A method according to claim 4, wherein at intervening non-integral fractions of the intensity range, the spread is reduced.

7. An apparatus for halftoning image data for each of plural pixels, said apparatus comprising means for performing the functions specified in any of claims 1 to 5 and 6.

8. An apparatus for halftoning image data for each of plural pixels, comprising:

a program memory for storing process steps executable to perform a method according to any of claims 1 to 5 and 6; and

a processor for executing the process steps stored in said program memory.

9. Computer-executable process steps stored on a computer readable medium, said computer-executable process steps for halftoning image data for each of plural pixels, said computer-executable process steps comprising process steps executable to perform a method according to any of claims 1 to 5 and 6.

6. A method for halftoning image data for each of plural pixels, comprising the steps of:

determining a halftone output value for a target pixel based on a comparison between a threshold and the image data plus accumulated error for the target pixel;

diffusing error between the halftone output value and the image data plus accumulated error for the target pixel;

wherein error is diffused according to error diffusion weights provided for each different segment of the range of input intensities including a segment at a mid-tone segment, and

wherein weights in the mid-tone segments are selected so as to decrease the tendency of the error diffusion process to form regular checkerboard patterns.