Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/106984
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical and Electronic Engineering | - |
dc.creator | Xu, ZX | - |
dc.creator | Chan, YH | - |
dc.date.accessioned | 2024-06-07T00:59:24Z | - |
dc.date.available | 2024-06-07T00:59:24Z | - |
dc.identifier.issn | 0923-5965 | - |
dc.identifier.uri | http://hdl.handle.net/10397/106984 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier BV | en_US |
dc.rights | © 2016 Published by Elsevier B.V. | en_US |
dc.rights | This is the preprint version of the following article: Xu, Z. X., & Chan, Y. H. (2017). Improving reversible color-to-grayscale conversion with halftoning. Signal Processing: Image Communication, 52, 111-123, which is available at https://doi.org/10.1016/j.image.2016.12.005. | en_US |
dc.subject | Color palette | en_US |
dc.subject | Color quantization | en_US |
dc.subject | Halftoning | en_US |
dc.subject | Information hiding | en_US |
dc.subject | Noise shaping | en_US |
dc.subject | Reversible color mapping | en_US |
dc.title | Improving reversible color-to-grayscale conversion with halftoning | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 111 | - |
dc.identifier.epage | 123 | - |
dc.identifier.volume | 52 | - |
dc.identifier.doi | 10.1016/j.image.2016.12.005 | - |
dcterms.abstract | Reversible color-to-grayscale conversion (RCGC) aims at embedding the chromatic information of a full color image into its grayscale version such that the original color image can be reconstructed in the future when necessary. Conventional RCGC algorithms tend to put their emphasis on the quality of the reconstructed color image, which makes the color-embedded grayscale image visually undesirable and suspicious. This paper presents a novel RCGC framework that emphasizes the quality of both the color-embedded grayscale image and the reconstructed color image simultaneously. Its superiority against other RCGC algorithms is mainly achieved by developing a color palette that fits into the application and exploiting error diffusion to shape the quantization noise to high frequency band. The improved quality of the color-embedded grayscale image makes the image appears as a normal image. It does not catch the attention of unauthorized people and hence the embedded chromatic information can be protected more securely. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Signal processing. Image communication, Mar. 2017, v. 52, p. 111-123 | - |
dcterms.isPartOf | Signal processing. Image communication | - |
dcterms.issued | 2017-03 | - |
dc.identifier.scopus | 2-s2.0-85009088980 | - |
dc.description.validate | 202405 bcch | - |
dc.description.oa | Author’s Original | en_US |
dc.identifier.FolderNumber | EIE-0735 | en_US |
dc.description.fundingSource | RGC | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 6713771 | en_US |
dc.description.oaCategory | Green (AO) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Chan_Improving_Reversible_Color-To-Grayscale.pdf | Preprint version | 9.72 MB | Adobe PDF | View/Open |
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