Digital halftones by dot diffusion
ACM Transactions on Graphics (TOG)
Data hiding by smart pair toggling for halftone images
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
Modeling and quality assessment of halftoning by error diffusion
IEEE Transactions on Image Processing
Image quality assessment based on a degradation model
IEEE Transactions on Image Processing
A fast, high-quality inverse halftoning algorithm for error diffused halftones
IEEE Transactions on Image Processing
Data hiding watermarking for halftone images
IEEE Transactions on Image Processing
Hybrid pixel-based data hiding and block-based watermarking for error-diffused halftone images
IEEE Transactions on Circuits and Systems for Video Technology
| Hi-index | 0.00 |
Digital Halftoning is the rendition of continues-tone images on two-level displays. A modified kernels-alternated error diffusion (KAEDF) watermarking algorithm for halftone images is presented in this paper, which can achieve relatively large embedding rate with good visual quality and high robustness. With the introduction of threshold modulation in error diffusion, the proposed algorithm greatly eliminates the edge sharpening and noise shaping distortion of the watermarked halftone image due to the conventional error diffusion algorithm. Consequently, more spectral distribution features in DFT domain characterized with the two alternated kernels, i.e., Jarvis and Stucki, are preserved in the resulting watermarked halftone image, which greatly improves the performance of watermark decoding. Instead of the original grey level image, the one generated with the inverse halftone algorithm is utilized to determine the local threshold for blind watermark detection. Extensive simulations are carried out, which demonstrates that the modified KAEDF watermarking algorithm achieves significant improvements in performance of visual quality and watermark decoding rate.