A New Digital Haiftoning and Data Hiding Designed with LMS Optimization

Abstract

In this paper, the well known least-mean-square (LMS) method is applied for designing an adaptive filter used to produce a high quality halftone image. The experimental results show that the proposed LMS-designed halftoning achieves the extra benefit of edge enhancement and eliminates the annoying worm effect in error-diffused image. In addition, we provide two data hiding applications, named direct embedding LMS-designed halftone technique (DELDH) and information sharing LMS-designed halftone technique (ISLDH) to demonstrate the performance of the proposed LMS-designed halftoning. As the experimental results demonstrated, both techniques achieve excellent image quality and decoded visual patterns