Inverse halftoning using wavelets. Xiong, Z., Orchard, M., & Ramchandran, K. Image Processing, IEEE Transactions on, 8(10):1479 -1483, oct, 1999. doi abstract bibtex This work introduces a new approach to inverse halftoning using nonorthogonal wavelets. The distinct features of this wavelet-based approach are: (1) edge information in the highpass wavelet images of a halftone image is extracted and used to assist inverse halftoning, (2) cross-scale correlations in the multiscale wavelet decomposition are used for removing background halftoning noise while preserving important edges in the wavelet lowpass image, and (3) experiments show that our simple wavelet-based approach outperforms the best results obtained from inverse halftoning methods published in the literature, which are iterative in nature
@article{791977,
Author = {Zixiang Xiong and Orchard, M.T. and Ramchandran, K.},
Date-Added = {2012-10-22 15:14:10 +0000},
Date-Modified = {2012-10-22 15:14:10 +0000},
Doi = {10.1109/83.791977},
Issn = {1057-7149},
Journal = {Image Processing, IEEE Transactions on},
Keywords = {background halftoning noise;cross-scale correlations;discrete dyadic wavelet transform;edge information;error diffusion;experiments;halftone image;highpass wavelet images;inverse halftoning;iterative methods;low pass filters;lowpass image;multiscale wavelet decomposition;nonorthogonal wavelets;wavelet-based approach;correlation methods;discrete cosine transforms;filtering theory;high-pass filters;image processing;inverse problems;iterative methods;low-pass filters;},
Month = {oct},
Number = {10},
Pages = {1479 -1483},
Title = {Inverse halftoning using wavelets},
Volume = {8},
Year = {1999},
Abstract = {This work introduces a new approach to inverse halftoning using nonorthogonal wavelets. The distinct features of this wavelet-based approach are: (1) edge information in the highpass wavelet images of a halftone image is extracted and used to assist inverse halftoning, (2) cross-scale correlations in the multiscale wavelet decomposition are used for removing background halftoning noise while preserving important edges in the wavelet lowpass image, and (3) experiments show that our simple wavelet-based approach outperforms the best results obtained from inverse halftoning methods published in the literature, which are iterative in nature},
Bdsk-Url-1 = {http://dx.doi.org/10.1109/83.791977}}
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