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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.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.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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    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.