Skip to main content

Adaptive Edge Sharpening by Multiple Gaussian Filters

Buy Article:

$20.00 plus tax (Refund Policy)

Abstract:

The color image has different edge profiles depending on the local characteristics of the images. This paper discusses an adaptive image sharpening method depending on edge slopes of color images. First, the edge strengths of color image are measured by Gaussian derivative spatial filter for detecting the differential edge slopes. Secondly, the segmented mask pattern is generated to characterize the measured edge strengths, such as hard, medium, soft, and gentle or flat. Finally, the color image is processed by switching the plural number of edge sharpening spatial filters according to the mask pattern. The edge sharpening spatial filters worked well without coloring the gray edges when applied to the luminance signal converted from RGB signals by linear matrix. In the gentle or flat areas, all the edge sharpening filters are suppressed not to enhance the flat area noises. Here the multiple second derivative filters such as Gaussian or Gabor with different σ are applied to restore the edge sharpness depending on the mask patterns. The proposed method resulted in the dramatic improvements in the reduction of flat areas' noise, and the image sharpness is recovered in smooth and in natural adaptive to the edge strengths.

Document Type: Research Article

Publication date: January 1, 2000

More about this publication?
  • For more than 25 years, NIP has been the leading forum for discussion of advances and new directions in non-impact and digital printing technologies. A comprehensive, industry-wide conference, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems, including drop-on-demand ink jet, wide format ink jet, desktop and continuous ink jet, toner-based electrophotographic printers, production digital printing systems, and thermal printing systems, as well as the engineering capability, optimization, and science involved in these fields.

    Since 2005, NIP has been held in conjunction with the Digital Fabrication Conference.

  • Information for Authors
  • Submit a Paper
  • Subscribe to this Title
  • Membership Information
  • Terms & Conditions
  • Ingenta Connect is not responsible for the content or availability of external websites
ist/nipdf/2000/00002000/00000002/art00098
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more