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1 Reversible Data Hiding By Using Optimal Value Data Transfer 1 Vrushali S. Patil , 2Megha P.Bhalshankar, 3Mugdha A. Songirkar, 4Shital B. Beldar. 1 B.E. Student of Computer Dept., SSBT COET, Bambhori, Jalgaon, MH-India,[email protected] B.E. Student of Computer Dept., SSBT COET, Bambhori, Jalgaon, MH-India,[email protected] 3B.E. Student of Computer Dept., SSBT COET, Bambhori, Jalgaon, MH-India, [email protected] 4 B.E. Student of Computer Dept., SSBT COET, Bambhori, Jalgaon, MH-India, shitalkumavat @gmail.com 2 Abstract— data hiding technique is in military, medical and law accurately and faster to the destination. Also hidden data enforcement, IPR protection and authentication. We can send the data through the internet Invisibility is very important nowadays. So, in order to transfer the data securely by hidden manner reversible data II. Reversible Data Hiding hiding technique is used. In reversible data hiding, after the A. Reversible Data Hiding Technique , 2M. Name embedded information is extracted the original cover can be of JNTU, Hyderabad, AP-India,[email protected] losslessely restored. In AP-India this paper using iterative algorithm JNTU, Hyderabad, M.Tech Student Reversible data hiding is a technique to embed additional 2 the optimal rule can be found. The optimal rule can be such as medical images or military application, with a found under a payload -distortion criterion. For embedding reversible manner so that the original cover content can be data the pixel of image can be divided in two sets name set perfectly restored after extraction of the hidden message.The A and set B. The set A and set B contain odd and even general signal processing typically done before encryption number of pixel respectively. The information that we want or after decryption, because As an effective and popular to hide can be embedded. Secret data hidden in sets A and means for privacy protection, encryption convert ordinary B are concatenated by the receiver to obtain the entire secret signal into incomprehensible data. However, in some data n the information can b extracted in receiver side circumstances that a content owner does not trust the service efficiently in reverse manner. provider, the encrypted data should be manipulate that to Index Terms-- Reversible data hiding; Encrypt image; Decrypt keep the plain content secrete is desired.When the secrete image; Data extraction. data are encrypted that to be transmitted, the encrypted data 1 HOD, ECE Dept, message into some distortion-unacceptable cover media, get compress by a channel provider which does not have any I. INTRODUCTION In recent years, signal processing in the encrypted domain has attracted huge research interest. Xinpeng Zhang presented a unique reversible (lossless) data hiding (embedding) process, which make able the exact recovery of the original host with the extraction of the embedded information. And this exact recovery with lossless data is nothing but the reversible data hiding. The well-known LSB (least significant bit) method is used as the data embedding method. Reversible data hiding is a process that is mainly used for the authentication of data like images, videos, electronic documents etc. The chief application of reversible knowledge of the cryptographic key due to the limited channel resource. Encryption is an effective means of privacy protection. To share a secret image with other person, before transmission a content owner may encrypt the image. In some cases, a channel administrator needs to add some additional message within the encrypted image.The additional message such as the image notation,origin information,authentication data, within the encrypted image however he does not know the original image content. It may be also expected that without any error the original content can be recovered after decryption and at receiver side retrieve of additional message. That means a reversible data hiding scheme for encrypted image is desirable. 2 Data hiding is a technique to hide data (representing corresponding values estimated from the neighbors, some information) into cover media. That is, the data estimation errors are modified according to the optimal hiding process join two sets of data, a set of the embedded value transfer matrix. The optimal value transfer matrix is data and set of the cover media data. In many cases of produced for maximizing the amount of secret data, i.e., the data hiding, the cover media becomes distorted and pure payload, by the iterative procedure described in the cannot be inverted back to the original media due to data previous section. It also stated that the size of auxiliary hiding. Even after the hidden data have been removed ,the information would not affected the optimality of the transfer cover some matrix. By pixel division in the original image into two applications, e.g. medical diagnosis and law enforcement different sets and a number of different subsets, the it is desired that the original cover media can be embedding of the data is orderly performed in the subsets, recovered efficiently as before.The marking techniques and then the auxiliary information of the subset is always fulfill this requirement are called as reversible, lossless, generated and embedded into the estimation errors in the invertible or distortion-free data hiding techniques . next subset. Similarly, the receiver could successfully media has permanent distortion. In III. Reversible Data Hiding By using Optimal value Data transfer the extract the embedded secret data and could recover the original content in the subsets with an inverse order. In reversible data hiding techniques, the values of sender image can be modified. According this constraints the IV. THE DESIGN OF HARDWARE original content of the image can be correctly restored after A. Existing System extracting the watermark data on the receiver side. In existing system reversible data hiding technique the According to this technique, the optimal constraint of value image is compressed and encrypted by using the encryption modification using a payload-distortion criterion is founded key and the data to hide is embedded in to the image by by using the iterative procedure, and an reversible practical using the data hiding key. At the receiver side the receiver data hiding scheme was proposed. The secret watermar first need to extract the image using the encryption key in kdata, as well as the additional information used for content order to extract the data and after that he’ll use data hiding recovering, were carried out by the differences between the key to extract the embedded data. It is a serial process and is original pixel-values and the corresponding values estimated not a separable process. from the neighbors. In this, the errors estimated were modified according to the optimal value transfer rule. Also, the original image was divided into a number of subsets of the pixel and the additional information of the subset were always embedded into the errors estimated in their next subset. The receiver could successfully extract the content i.e. the embedded secret data and recover the original content of the image in the subsets with an inverse order. According to this technique, a good performance is achieved for the reversible data hiding. According to the above scheme, the secret watermark data, as well as the auxiliary information used for content recovery, were carried out by the differences between the original pixel-values and the Figure 1. Existing System 3 1) The data can be embedded by an efficient nonreversible B. Modules Description For Reversible Data Hiding embedding code. There are five different types of modules in this project, 2) the cover block is compressed under the condition of the these are listed as follows: marked block. However, the recursive construction cannot approach the upper bound 4. Data Extraction When having an image containing embedded data, the receiver first divides the image into Set A and Set B, and then divides Sets A and B into a number of subsets using the same fashion. Then, extract and AI from the LSB of the last subset in Set B, and decompose as the weight values, tand he histogram difference of the first subsets and the number of iterations. The receiver can be obtain the estimation error of each pixel in the first subsets with the weight value, and with the histogram difference and the iteration number, receiver can use the histogram difference to retrieve the original Figure 2. Modules of Reversible data Hiding scaled histogram and implement the iterative procedure to retrieve the optimal transfer matrix used for data-embedding 1. Data Embedding in the first subsets. Denote the host pixels as where and are indices of row and 5. Content Recovery column, and divide all pixels into two sets such as: Set A The auxiliary information extracted from a subset is used to containing pixels with even and Set B containing other recover the original content of the previous subset, and then pixels with odd. So clearly, the four neighbors of a pixel the embedded data in the previous subset are extracted by must be belong to different set. For each pixel, we may use using the recovered original estimation error. That means four neighbors to estimate its value. the original content and the hidden data in the subsets of Set 2. Coding Module B, except that last one, can be recovered and extracted with We denote matrices and vectors by boldface fonts and use an inverse order. Then, the receiver can decomposes the the same notation for the random variable and its realization, payload hidden in the subsets into AI of Set A, LSB of for simplicity. To do Reversible Data hiding, a compressible Subset of Set B, and the embedded secret data. feature sequence should be first extracted from the original cover. For this schemes, the features can be usually represented by a binary sequence. So that, we can directly take the binary feature of the sequence as the cover to discuss the coding method and follow the notation established. 3. Recursive Construction This recursive construction performs better as compare to the simple method because of two key points: Figure 3. Pixel Dividation 4 V. ADVANTAGES AND DISADVANTAGES payload-distortion performance of the proposed scheme is very good. For the smooth host images, the proposed Advantages: scheme significantly outperforms the previous reversible A smart prediction method is exploited to make the data hiding methods. The generated available cover values estimation errors closer to zero, and better performance can used the optimal transfer mechanism which is independent. be achieved, but computation complexity will be higher due In other words, new rule of value modification used the to the prediction. The payload-distortion performance optimal transfer mechanism and can be used on various excellent of this proposed scheme. The host image is divided cover values. If a smarter prediction method is shown to into number of subsets and the auxiliary information of a make the estimation errors closer to zero and a good subset is embedded into the estimation errors in the next performance can be achieved, but the computation subset. By this way, one can successfully extract embedded complexity will be higher due to the prediction. The secret data and recover the original contents in the subsets combination other kinds of available cover data and the with an inverse order. optimal transfer mechanism used further study in the future. Disadvantages: VII. FUTURE ENHANCEMENT A spare place can always be made available In these We like to propose future enhancement in our reversible reversible data hiding methods to accommodate secret data watermarking scheme. Local specifies of the image can be as long as the chosen item is compressible, and the managed by histogram shifting modulation technique. This capacities are not very high. Payload of this method is low can be apply to image prediction-errors and by using their therefore each block can carry one bit. neighborhood values, we can apply data in textured areas. This is not achieved by other methods but histogram shifting VI. CONCLUSION In order carry through modulation technique can do so. a good payload-distortion Also, we can select parts of the image which can be performance of reversible data hiding,.This work find first watermarked with the most suitable reversible modulation the optimal value transfer matrix by maximizing a target by using classification process.The reference image is used function of pure payload with an repeating procedure, and to generate classification, predication of it, having property then proposes a practical reversible data hiding scheme. The of being invariant to the watermark insertion. Using this differences between the original pixel-values and the method, the watermark embedded and extractor remain same corresponding values calculate approximately from the for message extraction as well as reconstruction. neighbors .That are used to carry the payload that is made VIII. 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