Characterization of Error Diffusion Halftone Images based on Subband Decompostion. Fang, H. & Lu, X. In Multimedia Signal Processing, 2005 IEEE 7th Workshop on, pages 1 -4, 2005. doi abstract bibtex Digital halftoning creates the illusion of continuous tone output for a binary device. Halftoning using error diffusion reduces local quantization error by filtering the quantization error in a feedback loop. In this paper, we present a new scheme to evaluate error diffusion halftoning. An integer-coefficient filter bank is applied to an error diffusion halftone image to obtain frequency subbands. Based on these subband images, statistical distribution measurements and the correlations between the original image and the residual image are defined to evaluate the qualities of several error diffusion algorithms. Experimental results show that the rank of several error diffusion algorithms based on our gauges is consistent with the results of previous research works
@inproceedings{4013997,
Author = {Hua Fang and Xiqun Lu},
Booktitle = {Multimedia Signal Processing, 2005 IEEE 7th Workshop on},
Date-Added = {2012-08-20 12:59:45 +0000},
Date-Modified = {2012-08-20 17:41:35 +0000},
Doi = {10.1109/MMSP.2005.248576},
Keywords = {binary device;correlation evaluation;error diffusion halftone images;feedback loop;integer-coefficient filter bank;quantization error;statistical distribution measurements;subband decomposition;channel bank filters;data compression;image coding;statistical distributions;},
Pages = {1 -4},
Title = {Characterization of Error Diffusion Halftone Images based on Subband Decompostion},
Year = {2005},
Abstract = {Digital halftoning creates the illusion of continuous tone output for a binary device. Halftoning using error diffusion reduces local quantization error by filtering the quantization error in a feedback loop. In this paper, we present a new scheme to evaluate error diffusion halftoning. An integer-coefficient filter bank is applied to an error diffusion halftone image to obtain frequency subbands. Based on these subband images, statistical distribution measurements and the correlations between the original image and the residual image are defined to evaluate the qualities of several error diffusion algorithms. Experimental results show that the rank of several error diffusion algorithms based on our gauges is consistent with the results of previous research works},
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