A Tunable Bound of the Embedding Level for Reversible Data Hiding with Contrast Enhancement

Chen, Haishan; Hong, Wien; Ni, Jiangqun; Yuan, Junying

doi:10.1007/978-3-319-48671-0_13

Cited by 5 publications

(2 citation statements)

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“…In RDH-CE, the first step is to pre-process the cover image by overlapping the boundary histogram bins so as to make room for HM-based data embedding; the second step is to perform data embedding using pairwise histogram shifting and histogram expansion. Since the subjective image quality is improved, RDH-CE attracts a considerable attention [1,[8][9][10].…”

Section: Introductionmentioning

confidence: 99%

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Reversible Data Hiding with Visual Effect Enhancement for Subjectively Low Quality Saturated Images

Chen¹,

Yuan²,

Hong³

et al. 2018

dtcse

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Abstract. Reversible data hiding with contrast enhancement (RDH-CE) hides data in cover images while improving the image contrast, and thus is particularly effective for un-saturated images and medical images. In RDH-CE, image contrast is enhanced by expanding and spreading the histogram towards the lowest and highest gray-scales. However, there exist quite a few low quality images which are saturated or near-saturated but with rather low visually-illustrated regions of interest. For these images, enhancing the visual effect in the texture areas obviously outweighs improving the image contrast and preserving image fidelity. This paper aims at improving the visual texture effect by adaptively selecting histogram bins and reducing the distortion to structure similarity. Experimental results show that the proposed method obviously enhances the visual effects in texture areas while reducing structure distortion.

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Section: Introductionmentioning

confidence: 99%

“…In general, RDH-CE works effectively on un-saturated images, the histogram of which tends to distribute around the middle part of histogram [7][8][9][10]. However, there exist quite a few saturated images with subjectively low quality (termed as SSLQ images), as illustrated in Figure 1(a).…”

Section: Introductionmentioning

confidence: 99%