In this modern era, where technology is increasing at rapid pace and made all day new developments, security is of highest priority. To protect facts into the unrecognizable form diverse technique are used for records hiding like steganography and cryptography techniques have been advanced. This paper securing the image by way of encryption is completed by LSB bits, DWT and RSA algorithm. This paper additionally presents new strategies wherein cryptography and steganography are mixed to scramble the information and in addition to cover the insights in some other medium through image processing (IP). The encrypted picture can be hiding in some other image by way of the use of LSB bits, DWT strategies so that the secret’s message exists. RSA algorithm applied, receiver will use his/her private key because the secret data have been encrypted by recipient public key. Hide encrypted image in the cover image by DWT. Extract encrypted image from cover image and decrypt text by DWT. The proposed scheme is implemented in MATLAB platform the use of preferred cryptography and steganography set of regulations. Calculate PSNR and MSE. Also calculate the entropy of cover image and stego image. This method is secure for communication in the digital world with the digital data transmission.

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Hide image and text using lsb, dwt and rsa based on image steganography

Image processing plays a crucial role in obtaining information from brain images. Magnetic Resonance Imaging (MRI) techniques provide precious information to the doctors to diagnose various diseases. Artifact removal, skull stripping, Noise removal and enhancement are various procedures in pre-processing of the image. Easy detection of the tumor requires a preprocessed image. We propose analysis of three methods on astrocytoma MRI brain images called Histogram Equalization (HE), Contrast Limited Adaptive Histogram Equalization (CLAHE), Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDFHE). These methods are verified and the results are evaluated using performance metrices. (MSE, PSNR, RMSE).

Comparative Analysis of Various Enhancement Methods for Astrocytoma MRI Images

Protecting information on various communication media is considered an essential requirement in the present information transmission technology. So, there is a continuous search around different modern techniques that may be used to protect the data from the attackers. Steganography is one of those techniques that can be used to maintain the copyright by employing it to cover the publisher logo image inside the video frames. Nowadays, most of the popular known of the Video-Steganography methods become a conventional technique to the attacker, so there is a requirement for a modern and smart strategy to protect the copyright of the digital video file. Where this proposed system goal to create a hybrid system that combines the properties of Cryptography and Steganography work to protect the copyright hidden data from different attack types with maintaining of characteristics of the original video (quality and resolution). In this article, a modern Video-Steganography method is presented by employing the benefits of TC (Turbo code) to encrypt the pixels of logo image and Least two Significant Bit Technique procedure to embed the encryption pixels inside the frames of the video file. The insertion is performed in the frequency domain by applying the Fast Fourier Transform (FFT)on the video frames. The examination of the suggested architecture is done by terms of Structural Similarity Index, MSE (mean squared error), and PSNR (peak signal-to-noise ratio) by comparing between an original and extracted logo as well as between original and Steganographic video (averaged overall digital frames in the video). The simulation results show that this method proved high security, robustness, capacity and produces a substantial performance enhancement over the present known ways with fewer distortions in the quality of the video

/pdf/design-and-simulation-a-video-steganography-system-by-using-1qkiyq4zly.pdf

Design and simulation a video steganography system by using FFT­turbo code methods for copyrights application

It is necessary to extract various attributes from an image especially in the field of neurological pathology. Magnetic Resonance Imaging (MRI) is a popularly used scanning technique for soft tissues like brain as it provides a detailed view of the tissue. It requires highly accurate segmentation algorithms to cluster a brain image into its constituent tissue regions. In consideration to this necessity, fuzzy set theory proves to be suitable to achieve tissue clustering on the brain MR images. However, the need to obtain better segmentation makes clustering efficiency more demanding. This fact encourages us to propose an advanced clustering algorithm known as Improved Rough Possibilistic Type-2 Fuzzy C Means that includes Skull Stripping and Median Filtering to enhance the performance. The proposed algorithm addresses various issues experienced by several other clustering algorithms and its superiority over them is quantitatively validated through authentic performance metrics like Jaccard Index, Accuracy and Adjusted Rand Index.

An Improved Type 2 Fuzzy C Means Clustering for MR Brain Image Segmentation Based on Possibilistic Approach and Rough Set Theory

Need of hiding information from intruders has been around since ancient times. Nowadays digital media is getting advanced like text, image, audio, video etc. To maintain the secrecy of information different methods of hiding have been evolved. One of them is Steganography which means hiding information under some other information without noticeable change in cover information. Video Steganography is the technique of hiding some covert message inside a video. In these paper work on improve data hiding capacity using video Steganography and use motion vector here for hiding data using LSB approach for hide text data. Using proposed system to improve images accuracy, embedding capacity. To enhance more security each bit of secret frames will be stored in covered frames. That are achieves good images quality when compared with existing method.

http://www.ijariie.com/AdminUploadPdf/A_survey_on_a_an_advanced_approach_for_motion_video_Steganography_using_LSB_technique_ijariie7420.pdf

A survey on a an advanced approach for motion video Steganography using LSB technique

This paper proposes a simple and robust method of audio data embedding into videos. Robustness in this method comes because of the use of double coding mechanism. Here double coding means using two kinds of codes on the same data one after another. This provides more security and reliability to the hidden data into video. As security is the most important matter of concern in present data communication scenario, thus our proposed method provides satisfactory results. The method performed in wavelet domain by using pseudo random codes and morse codes. The performance of this method is evaluated by MSE (Mean Square Error) and PSNR (Peak Signal to Noise Ratio). Further testing is done on videos after embedding, by exposing it to video compression technique. The obtained test result doesn't affect much to the quality of extracted audio data.

Double coding mechanism for robust audio data hiding in videos

Filter Banks traditionally designed by the factorization method which is complex and time consuming. Singular valued decomposition technique is introduced to design Linear Phase Orthogonal filter bank which yields efficient and fast results in time critical applications. Signal splitting and efficient reconstruction of the original signal is studied achieving perfect reconstruction condition due to the orthogonal nature of designed filter bank. Ultimate aim of proposed methodology is to design two approximation scenarios in terms of square matrices which apparently maps into the filter bank matrix. Singular valued decomposition is iteratively employed to compute both of these square matrices until achievable convergence is achieved between to alternate iterations. Proposed algorithm starts with the design of least square filter bank and ends with the filter bank which ensures orthogonality conditions as well as all filters in the filter bank satisfying linear phase condition. Thus, faster design of the filter bank along with linear phase orthogonal condition yields multiple applications in signal processing, image processing, communication etc.

Rohit Chudiwal

Papers

Double coding mechanism for robust audio data hiding in videos

Design of maximally decimated linear phase orthogonal filter bank using iterative SVD technique and its applications