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Journal ArticleDOI

A New Histogram Modification Based Reversible Data Hiding Algorithm Considering the Human Visual System

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TLDR
In this letter, an improved histogram modification based reversible data hiding technique is proposed, unlike the conventional reversible techniques, a data embedding level is adaptively adjusted for each pixel with a consideration of the human visual system (HVS) characteristics.
Abstract
In this letter, we propose an improved histogram modification based reversible data hiding technique. In the proposed algorithm, unlike the conventional reversible techniques, a data embedding level is adaptively adjusted for each pixel with a consideration of the human visual system (HVS) characteristics. To this end, an edge and the just noticeable difference (JND) values are estimated for every pixel, and the estimated values are used to determine the embedding level. This pixel level adjustment can effectively reduce the distortion caused by data embedding. The experimental results and performance comparison with other reversible data hiding algorithms are presented to demonstrate the validity of the proposed algorithm.

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Citations
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Journal ArticleDOI

Reversible data hiding in encrypted images based on absolute mean difference of multiple neighboring pixels

TL;DR: A novel method of evaluating the complexity of image blocks, which considers multiple neighboring pixels according to the locations of different pixels, which can increase the correctness of data extraction/image recovery and reduce average extracted-bit error rate when the block size is appropriate.
Journal ArticleDOI

Encrypted signal-based reversible data hiding with public key cryptosystem

TL;DR: This paper proposes an encrypted signal-based reversible data hiding (ESRDH) with public key cryptosystem, not only for images, and the proposed scheme is secure based on Paillier homomorphic encryption.
Journal ArticleDOI

Encrypted image-based reversible data hiding with public key cryptography from difference expansion

TL;DR: The core of the proposed scheme is to pre-process an image with the property of difference expansion before encrypting, which provides good payload and image quality and shows the effectiveness of this scheme.
Journal ArticleDOI

A robust blind color image watermarking in quaternion Fourier transform domain

TL;DR: Experimental results show that the proposed color image watermarking is not only robust against common image processing operations such as filtering, JPEG compression, histogram equalization, and image blurring, but also robust against the geometrical distortions.
Journal ArticleDOI

Robust Histogram Shape-Based Method for Image Watermarking

TL;DR: This paper proposes a novel image-watermarking method to deal with cropping and random bending attacks, as well as other common attacks, and proposes a watermark-embedding scheme to insert watermarks into the chosen pixel groups.
References
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Journal ArticleDOI

Image quality assessment: from error visibility to structural similarity

TL;DR: In this article, a structural similarity index is proposed for image quality assessment based on the degradation of structural information, which can be applied to both subjective ratings and objective methods on a database of images compressed with JPEG and JPEG2000.
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Reversible data embedding using a difference expansion

TL;DR: The redundancy in digital images is explored to achieve very high embedding capacity, and keep the distortion low, in a novel reversible data-embedding method for digital images.
Journal ArticleDOI

Reversible data hiding

TL;DR: It is proved analytically and shown experimentally that the peak signal-to-noise ratio of the marked image generated by this method versus the original image is guaranteed to be above 48 dB, which is much higher than that of all reversible data hiding techniques reported in the literature.
Journal ArticleDOI

Image enhancement via adaptive unsharp masking

TL;DR: A new method for unsharp masking for contrast enhancement of images is presented that employs an adaptive filter that controls the contribution of the sharpening path in such a way that contrast enhancement occurs in high detail areas and little or no image sharpening occurs in smooth areas.
Journal ArticleDOI

Lossless data embedding--new paradigm in digital watermarking

TL;DR: This paper introduces a new paradigm for data embedding in images (lossless dataembedding) that has the property that the distortion due to embedding can be completely removed from the watermarked image after the embedded data has been extracted.
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