The proposed algorithm is based on the fact that an increase in the magnitude of the quantized wavelet coefficients leads to a decrease in visual smoothness.

Experimental results have confirmed that the adaptive algorithm could suppress the ringing artifacts and improve visual smoothness, especially around edges ...

A non-iterative wavelet-based algorithm was proposed to reduce the ringing artifacts associated with a lossy compressed image. The proposed algorithm is ...

Bibliographic details on Adaptive Shrinkage Algorithm for Ringing Suppression with Smoothness Constraint.

<http://purl.org/dc/terms/title>. "adaptive shrinkage algorithm for ringing suppression with smoothness constraint"^^<http://www.w3.org/2001/XMLSchema#string>.

Adaptive shrinkage algorithm for ringing suppression with smoothness constraint ... Thus a shrinkage algorithm is applied to maintain visual smoothness.

Missing: Ringing | Show results with:Ringing

Adaptive Shrinkage Algorithm for Ringing Suppression with Smoothness Constraint · pdf icon · hmtl icon · Ngai-Fong Law, Wan-Chi Siu. Published: 31 Dec 1998, ...

Figures 3 and 4 demonstrate that our method preserves challenging regions of image texture, while suppressing ringing and noise artifacts in smooth regions or ...

In this paper speckle reduction is approached as a Wiener-like filtering performed in the wavelet domain by means of an adaptive shrinkage of the detail ...