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WInHD: Wavelet-based Inverse Halftoning via Deconvolution

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dc.contributor.author Neelamani, Ramesh
Nowak, Robert David
Baraniuk, Richard G.
dc.creator Neelamani, Ramesh
Nowak, Robert David
Baraniuk, Richard G.
dc.date.accessioned 2007-10-31T00:55:40Z
dc.date.available 2007-10-31T00:55:40Z
dc.date.issued 2002-10-20
dc.date.submitted 2002-10-02
dc.identifier.uri http://hdl.handle.net/1911/20144
dc.description Journal Paper
dc.description.abstract We propose the Wavelet-based Inverse Halftoning via Deconvolution (WInHD) algorithm to perform inverse halftoning of error-diffused halftones. WInHD is motivated by our realization that inverse halftoning can be formulated as a deconvolution problem under Kite et al.'s linear approximation model for error diffusion halftoning. Under the linear model, the error-diffused halftone comprises the original gray-scale image blurred by a convolution operator and colored noise; the convolution operator and noise coloring are determined by the error diffusion technique. WInHD performs inverse halftoning by first inverting the model-specified convolution operator and then attenuating the residual noise using scalar wavelet-domain shrinkage. Since WInHD is model-based, it is easily adapted to different error diffusion halftoning techniques. Using simulations, we verify that WInHD is competitive with state-of-the-art inverse halftoning techniques in the mean-squared-error sense and that it also provides good visual performance. We also derive and analyze bounds on WInHD's mean-squared-error performance as the image resolution increases.
dc.description.sponsorship National Science Foundation
dc.description.sponsorship National Science Foundation
dc.description.sponsorship Air Force Office of Scientific Research
dc.language.iso eng
dc.subject inverse halftoning
error diffusion
deconvolution
wavelets
wavelet-vaguelette
dc.subject.other Image Processing and Pattern analysis
Wavelet based Signal/Image Processing
dc.title WInHD: Wavelet-based Inverse Halftoning via Deconvolution
dc.type Journal Paper
dc.citation.bibtexName article
dc.citation.journalTitle IEEE Transactions on Image Processing
dc.date.modified 2002-10-16
dc.contributor.center Digital Signal Processing (http://dsp.rice.edu/)
dc.subject.keyword inverse halftoning
error diffusion
deconvolution
wavelets
wavelet-vaguelette
dc.relation.project http://www.dsp.rice.edu/software/winhd.shtml
dc.relation.software http://www.dsp.rice.edu/software/winhd.shtml
dc.type.dcmi Text
dc.identifier.citation R. Neelamani, R. D. Nowak and R. G. Baraniuk, "WInHD: Wavelet-based Inverse Halftoning via Deconvolution," IEEE Transactions on Image Processing, 2002.

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  • ECE Publications [1045 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.