A Survey Paper on Reversible Image Data Hiding (original) (raw)
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Reversible Image Data Hiding with Contrast Enhancement
—In this letter, a novel reversible data hiding (RDH) algorithm is proposed for digital images. Instead of trying to keep the PSNR value high, the proposed algorithm enhances the contrast of a host image to improve its visual quality. The highest two bins in the histogram are selected for data embedding so that his-togram equalization can be performed by repeating the process. The side information is embedded along with the message bits into the host image so that the original image is completely recoverable. The proposed algorithm was implemented on two sets of images to demonstrate its efficiency. To our best knowledge, it is the first algorithm that achieves image contrast enhancement by RDH. Furthermore , the evaluation results show that the visual quality can be preserved after a considerable amount of message bits have been embedded into the contrast-enhanced images, even better than three specific MATLAB functions used for image contrast enhancement.
IEEE Transactions on Circuits and Systems for Video Technology, 2006
A novel reversible data hiding algorithm, which can recover the original image without any distortion from the marked image after the hidden data have been extracted, is presented in this paper. This algorithm utilizes the zero or the minimum points of the histogram of an image and slightly modifies the pixel grayscale values to embed data into the image. It can embed more data than many of the existing reversible data hiding algorithms. It is proved analytically and shown experimentally that the peak signal-to-noise ratio (PSNR) of the marked image generated by this method versus the original image is guaranteed to be above 48 dB. This lower bound of PSNR is much higher than that of all reversible data hiding techniques reported in the literature. The computational complexity of our proposed technique is low and the execution time is short. The algorithm has been successfully applied to a wide range of images, including commonly used images, medical images, texture images, aerial images and all of the 1096 images in CorelDraw database. Experimental results and performance comparison with other reversible data hiding schemes are presented to demonstrate the validity of the proposed algorithm.
A Reversible Data Hiding Technique Embedding In the Image Histogram
HELLENIC OPEN UNIVERSITY …
This report is about a data hiding technique based on the modification of the image histogram. It is fully reversible, that means, the original image can be recovered from the marked image, after the hidden data has been extracted. The technique was first presented by Zhicheng Ni et al. It has large embedding capacity, with very good signal -to -noise ratio (PSNR) of the marked image. PSNR is guaranteed to be above 48dB and the actual threshold is much higher than this. The algorithm has successfully been applied to a large number of images. It is also proved that it is a weak embedding algorithm, in which the message embedded is easily damaged by any alteration of the marked image. However, such data hiding techniques have a large number of applications in the areas of image authentication, tamper -proofing and secure medical image data systems.
A reversible data hiding technique for embedding in the image histogram
Hellenic Open University Journal of Informatics, 2007
This work is about a data hiding technique based on the modification of the image histogram. It is fully reversible, that means, the original image can be recovered from the marked image, after the hidden data has been extracted. The technique was first presented by Zhicheng Ni et al. It has large embedding capacity, with very good signal–to–noise ratio (PSNR) of the marked image. PSNR is guaranteed to be above 48dB and the actual threshold is much higher than this. The algorithm has successfully been applied to a large ...
IJERT-Comparison of Reversible Data hiding Techniques for Digital images
International Journal of Engineering Research and Technology (IJERT), 2014
https://www.ijert.org/comparison-of-reversible-data-hiding-techniques-for-digital-images https://www.ijert.org/research/comparison-of-reversible-data-hiding-techniques-for-digital-images-IJERTV1IS6355.pdf In this paper three different Reversible Data hiding techniques based on histogram was implemented. The first technique is based on pixel difference which is improvement to histogram modification technique. In order to communicate with multiple peak points another technique called binary tree has been implemented. Considering Human Visual System Characteristics recent technique has been implemented which can effectively reduce the distortion caused by data embedding.
Reversible Data Hiding by Histogram Modification for Image Contrast Enhancement
2016
© 2016, IRJET | Impact Factor value: 4.45 | ISO 9001:2008 Certified Journal | Page 761 REVERSIBLE DATA HIDING BY HISTOGRAM MODIFICATION FOR IMAGE CONTRAST ENHANCEMENT Silpa Rajan1, Minu Lalitha Madhavu2 1Silpa Rajan, Pursuing Mtech at Sree Buddha college of Engineering , Pattoor, Kerala, India 2Minu Lalitha Madhavu , Assistant Professor , Dept. of Computer Science Engineering, Sree Buddha College , Pattoor, Kerala, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Security is vital while transferring data over the network. The data is hidden in the encrypted image for the purpose of improving security.. This in turn improves the confidentiality of the data. The data embedded can be extracted without any error, and also the cover image can be restored with error free. This type of technique is termed as Reversible Data Hiding (RDH). We are conducting a survey in this paper based o...
Reversible data hiding based on multilevel histogram modification and sequential recovery
Aeu-international Journal of Electronics and Communications, 2011
This paper proposes a reversible data hiding method for natural images. Due to the similarity of neighbor pixels' values, most differences between pairs of adjacent pixels are equal or close to zero. In this work, a histogram is constructed based on these difference statistics. In the data embedding stage, a multilevel histogram modification mechanism is employed. As more peak points are used for secret bits modulation, the hiding capacity is enhanced compared with those conventional methods based on one or two level histogram modification. Moreover, as the differences concentricity around zero is improved, the distortions on the host image introduced by secret content embedding is mitigated. In the data extraction and image recovery stage, the embedding level instead of the peak points and zero points is used. Accordingly the affiliated information is much smaller than in those methods of the kind. A sequential recovery strategy is exploited for each pixel is reconstructed with the aid of its previously recovered neighbor. Experimental results and comparisons with other methods demonstrate our method's effectiveness and superior performance.
A Review on Reversible Data Hiding Scheme by Image Contrast Enhancement
In present world demand of high quality images, security of the information on internet is one of the most important issues of research. Data hiding is a method of hiding a useful information by embedding it on another image (cover image) to provide security and only the authorize person is able to extract the original information from the embedding data. This paper is a review which describes several different algorithms for Reversible Data Hiding (RDH). Previous literature has shown that histogram modification, histogram equalization (HE) and interpolation are the most common methods for data hiding. To improve security these methods are used in encrypted images. This paper is a comprehensive study of all the major reversible data hiding approaches implemented as found in the literature. .
Reversible Data Hiding Using Contrast Enhancement Approach
Reverse Data Hiding is a technique used to hide the object's data details. This technique is used to ensure the security and to protect the integrity of the object from any modification by preventing intended and unintended changes. Digital watermarking is a key ingredient to multimedia protection. However, most existing techniques distort the original content as a side effect of image protection. As a way to overcome such distortion, reversible data embedding has recently been introduced and is growing rapidly. In reversible data embedding, the original content can be completely restored after the removal of the watermark. Therefore, it is very practical to protect legal, medical, or other important imagery. In this paper a novel removable (lossless) data hiding technique is proposed. This technique is based on the histogram modification to produce extra space for embedding, and the redundancy in digital images is exploited to achieve a very high embedding capacity. This method...
An Analysis on Efficient Reversible Data Hiding Technique in Image Processing
2017
Communication plays a major role in the technological field. Data hiding is one such application of communication where a secrecy or protection is maintained throughout a particular communication. The paper introduces a new technology for data hiding in image processing, called rhombus prediction embedding algorithm with boundary expansion. The paper also made an analysis of the compression of a location map that plays a major role in increased embedding efficiency. Later the entire hidden data can be retrieved with making no change in the original image thereby showing perfection in data retrieval from the image after use. The entire data hiding system for a particular image has been tried to analyzed and conclude in ModelSim software in VHDL language and MATLAB. KeywordsRhombus prediction, embedding efficiency, VHDL, MATLAB, boundary expansion, ModelSim.