Skip to main content

Multi-Scale Image Sharpening with Noise Reduction

Buy Article:

$20.00 plus tax (Refund Policy)

Abstract:

The color image has various edge profiles. In the conventional single kernel sharpness filter has the drawbacks of exhausting background noises or insensitivity to the dull edges. In the previous paper, we proposed an adaptive image sharpening method to the edge profiles. This paper, reports its advanced model, which has both sharpening and smoothing functions. In addition, the paper assesses the edge sharpness factors by introducing the indices, such as ES (Edge Sharpness), FS (Spatial Frequency Sharpness), and Nf (Flat Area Noise). The improved model makes the flat area noises intentionally smoothed with preserving the enhanced edges. A prescanning spatial filter generates the edge map to classify the edge types into hard, medium, soft, and flat zones. The multiple GD (Gaussian Derivative) operators with different deviations are selectively applied to the corresponding edge zones by looking up the edge map. Here the smoothing filters are applied only to the flat zones to reduce the background noises. In comparison with the single kernel filter method, the proposed model worked excellent to sharpen the different edge slopes naturally together with dramatically reducing the background noises.

Document Type: Research Article

Publication date: 2002-01-01

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
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed 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