Reversible Image Data Embedding Modified Histogram Feature (original) (raw)

Improved Reversible Data Hiding in Encrypted Images by Histogram Shifting Algorithm

In this work an improved reversible data hiding scheme based on histogram shifting algorithm is proposed. Initially, the original image is encrypted by the sender by using a suitable encryption key. Then the data hider hides the data into the encrypted image without the knowledge of the sender by using a data hiding key to generate the marked image. Finally, the receiver by using both the keys can retrieve the data, as well as recover the original image without any distortion from the marked image. This algorithm divides the encrypted image into two blocks and the histogram shifting is performed for each block. The proposed method proves to be efficient compared to the other methods. Both the Peak Signal to Noise Ratio (PSNR) as well as the embedding rate has been highly improved.

Survey on Image Data Hiding Based on Block Histogram Shifting Encryption Algorithm

2019

Describes the thought of Reversible Information Hiding (RDH) methodology is based on steganography. Recently a lot of attention is paid to RDH in encrypted image. Security should be provided for the transmission of confidential and sensitive information over the network and insecure channel, loss in information happens. To secure the information, encode the wrap information and introduce is secret information into cover media. so the protection of image and embedded information is maintained, Since RDH manages the outstanding secured property, and therefore the original image are often recovered with none loss, Reversible Information Hiding (RDH). Within the planned rule, Histogram Shifting (HS) is employed for RDH, and therefore the BHSEA methodology is used for encoding. The BHSEA methodology performs four processes for encoding; Reversible information hiding could be a form of information hiding techniques whereby the host image is often recovered specifically. Being lossless makes this method appropriate for medical, military applications and cloud storage. In cloud storage, a content owner will encode a picture to preserve his/her privacy, and transfer the encrypted knowledge onto cloud. Reversible knowledge activity in encrypted image, which might recover the first image with none distortion from the marked image when the hidden information, are extracted. Existing rule consists of various hierarchal steps for the information embedding and therefore the encoding. Therefore, the planned rule are often appropriate for the hierarchical access system, wherever the permission is granted consistent with the assorted access rights and planned algorithmic rule up strength and authentication of image information hiding.

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.

Secured Reversible Data Hiding using Histogram Shifting Method

2021

The Internet has become one of the significant ways of communication. Sending medical information from one place to another sometimes may cause leakage or interruption in the messages that are being sent. Thus it is necessary to protect the patient's medical information being sent through the network. Cryptography, Steganography are some of the various techniques that are being used to protect data from the outside world. Here, the patient's information is encrypted using chaotic encryption and the image is compressed by The Absolute Moment Block Truncation Coding (AMBTC) compression method. The chaotic encryption is employed in the system to improve robustness against security vulnerabilities. The compressed image is embedded into the cover image by the histogram modified embedding method. Various keys are used for encrypting and embedding the information into the image. The reverse process is done on the receiver side to retrieve the original image and the patient's information without any loss or distortion by using the same key. The Peak Signal to Noise Ratio (PSNR) of this method is obtained above 50dB.

Reversible Data Hiding in Encrypted Image Using Histogram Modification

2017

I. Abstract: In the past two decades, reversible data hiding (RDH), also referred to as lossless o invertible data hiding, has gradually become a very active research area in the field of data hiding. This has been verified by more and more papers on increasingly wide-spread subjects in the field of RDH research that have been published these days. In this paper, the various RDH algorithms and researches have been classified into the following six categories: 1) RDH into image spatial domain; 2) RDH into image compressed domain (e.g., JPEG); 3) RDH suitable for image semi-fragile authentication; 4) RDH with image contrast enhancement; 5) RDH into encrypted images, which is expected to have wide application in the cloud computation; and 6) RDH into video and into audio. For each of these six categories, the history of technical developments, the current state of the arts, and the possible future researches are presented and discussed. It is expected that the RDH technology and its ap...

A Review on Reversible Data Hiding Techniques

2018

Data hiding is an art, which involves the technique of carrying a data in a suitable multimedia carrier for secure communication. Data hiding techniques provide secret communication and authentication but can cause a loss of the carrier. These techniques are used for copyright protection, media registration, integrity authentication etc. Applications like medical imagery, military and forensics degradation do not allow distortion of original cover. So it needs secure data hiding techniques. To overcome this disadvantage of extracting the carrier with distortion was removed by reversible data hiding methods. Reversible data hiding techniques recovers the original carrier exactly after the extraction of the secret encrypted data. Reversible Data Hiding Techniques are classified based on the method of implementation. In this paper a survey on the different techniques applicable based on difference expansion, histogram shifting and compression embedding, for reversible data hiding are d...

A Novel Reversible Data Hiding Technique with High

2012

In this paper, a new reversible image hiding scheme based on histogram shifting for grayscale images is proposed. As is known, the payload storage of histogram-based reversible data hiding is impacted by the overhead information of the pixel positions that have to be embedded in a cover image. To solve this problem, the cover image is divided into two parts, namely the Most Significant Part (MSP) and the Least Significant Part (LSP), secret data is hidden by shifting the histogram of the most significant part. To increase the payload of embedded data in a cover image, the proposed algorithm reduces the number of bits that represent the secret data without any corruption of that secret data. In addition, overflow and underflow problems are prevented by categorization of the histogram into three categories. According to the experimental results, the cover image is recovered correctly. A higher hiding capacity can be obtained and a good quality marked image is preserved when the proposed scheme is applied to hide the secret data by shifting the histogram of the most significant part instead of hiding by shifting the histogram of the whole cover image.

Analysis of Data Hiding Algorithms for Image Security

International Journal of Students' Research in Technology & Management, 2015

The main goal of reversible data hiding algorithms is to embed the secret information in cover image and recover it back successfully. So we have implemented two methods. In first method, cover image is encrypted using stream cipher and pseudo randomly generated key and compressed using haar wavelet compression. The encrypted compressed image acts as a media for hiding secret image. And in second method, secret image is encrypted using randomly generated key and it is hidden in cover image. In both the method data hiding is done using LSB based image steganography. At the receiver, reverse process is done to extract secret image and recover cover image. At the end, we conclude that second method gives better security of image compared to method one.

Performance Analysis on Different Images using Reversible Data Hiding Technique and its Application

International journal of computer applications, 2015

Communicating securely is what everyone wants. Earlier it was simply data hiding then reversible data hiding and currently its encrypted data hiding reversibly. Introducing new challenge is always as important as keeping it unreachable to the hacker. In proposed work security is enhanced by encrypting data and then embedding the encrypted form of data. Reserve Room before encryption gives an added advantage for enough space for data hiding. Haar wavelet is best suitable wavelet amongst other wavelet like symlet, bior, coiflet and contourlet, when the input image is encrypted image rather than a plain image. The quality of image has been evaluated by performance analysis like MSE, PSNR and hiding capacity on different types of color images and results were compared. Minimum errors with high SNR rate at various data hiding capacity were seen.

A New Histogram Modification based Robust Image Data Hiding Technique

IEEE 24th International Symposium on Computer and Information Sciences, 2009

The main objective of this presented research work is to implement a steganography application simply based on a new image histogram modification approach. An image histogram is a type of histogram which acts as a graphical representation of the tonal distribution in a digital image. The stego images, obtained using the proposed data hiding method, are inherently robust against main geometrical attacks such as rotation, scattered tiles and warping. The application of proposed method has comparatively higher secret data embedding capacity than its counterparts, as well as providing relatively enhanced PSNR results. Not only has it improved the data embedding capacity from 300-360 bits to 665-747 bits but also the PSNR from 53.10-55.18 dB to 56.01-62.75 dB for the well-known Lena, Baboon and Pepper images, compared to one of its important counterparts.