Wavelet-Based Steganography against Histogram Analysis

2010 ◽  
Vol 40-41 ◽  
pp. 469-472
Author(s):  
Yan Hui Li ◽  
Yu Liang Gao
Keyword(s):  
Wavelet Transform ◽  
Wavelet Coefficient ◽  
Visual Quality ◽  
Experimental Results ◽  
Histogram Analysis ◽  
Wavelet Coefficients ◽  
Stego Image ◽  
Absolute Value ◽  
Secret Information

Histogram analysis for wavelet coefficients is powerful steganalysis for detecting the presence of secret information embedded in the wavelet coefficients. In order to improve the security, a wavelet-based steganography against histogram analysis is presented. First, a cover image is divided into blocks, and every block is decomposed into wavelet. Then, if the secret bit is not same as the information denoted by nonzero wavelet coefficient, the absolute value of wavelet coefficient is subtracted by 1, if the value of wavelet coefficient was 0 after embedding the secret bit, the secret bit should be embedded into next wavelet coefficient. If the sum of wavelet coefficients is large, the wavelet coefficients of next level should be embedded by secret information. Finally, the stego-image can be obtained by using the inverse wavelet transform. From the experimental results, the proposed method could effectively keep the identity of histogram for wavelet coefficients and maintain a good visual quality of stego-image.

Image Complexity Analysis Based on HVS and Its Application in Steganography

2013 ◽  
Vol 333-335 ◽  
pp. 1118-1122
Author(s):  
Jun Li ◽  
Xiao Yuan Yang
Keyword(s):  
Wavelet Transform ◽  
Complexity Analysis ◽  
Visual Quality ◽  
Modulus Function ◽  
Secret Message ◽  
Embedding Capacity ◽  
Stego Image ◽  
Different Types ◽  
Human Eyes

With human eyes has different insensitive to different types of texture, edged and dark area, this paper proposed an image steganography with higher embedding capacity and good stego image quality. In our method, the image blocks was divided into four kinds (texture, edged, dark and smooth), and secret message was embedded with the algorithm of modulus function coincide with wavelet transform. From the experimental results, the complexity notion can distinguish different kinds of blocks precisely, and the steganography method can hide much larger message and maintain a good visual quality of stego image.

Reversible Data Hiding Exploiting Coefficients Histogram in Wavelet Transform Domain

2013 ◽  
Vol 284-287 ◽  
pp. 3164-3167
Author(s):  
Te Lung Yin ◽  
Xu Ren Luo
Keyword(s):  
Wavelet Transform ◽  
Data Hiding ◽  
Reversible Data Hiding ◽  
State Of The Art ◽  
Wavelet Coefficient ◽  
High Capacity ◽  
Experimental Results ◽  
Transform Domain ◽  
Wavelet Coefficients ◽  
Visual Distortion

Reversible data hiding has drawn lots of interest in the last a few years. With reversibility, original media can be recovered without any distortion from the marked media after the embedded data has been extracted. In this paper, we present a new scheme which utilizes the wavelet transform and better exploited large variance of wavelet coefficient differences to achieve high capacity and imperceptibility. With the particularity of minor changes in the wavelet coefficients after embedding data, low visual distortion can therefore be obtained in the marked image. Furthermore, an extraordinary attribute of our scheme is that the use of embedding level differs greatly from previous schemes. Experimental results showed that the performance our scheme outperforms the state-of-the-art reversible data hiding schemes.

scholarly journals Multimedia Quality Integration Using Piecewise Function

2011 ◽  
Vol 1 ◽  
pp. 375-380
Author(s):  
Shu Ai Wan ◽  
Kai Fang Yang ◽  
Hai Yong Zhou
Keyword(s):  
Visual Quality ◽  
Experimental Results ◽  
Integration Model ◽  
Quality Performance ◽  
Piecewise Function ◽  
Proposed Model ◽  
Constant Coefficients ◽  
Theoretical Analyses ◽  
Different Levels

In this paper the important issue of multimedia quality evaluation is concerned, given the unimodal quality of audio and video. Firstly, the quality integration model recommended in G.1070 is evaluated using experimental results. Theoretical analyses aide empirical observations suggest that the constant coefficients used in the G.1070 model should actually be piecewise adjusted for different levels of audio and visual quality. Then a piecewise function is proposed to perform multimedia quality integration under different levels of the audio and visual quality. Performance gain observed from experimental results substantiates the effectiveness of the proposed model.

A Novel Image Fusion Approach Based on Rough Set and Wavelet Analysis

2010 ◽  
Vol 439-440 ◽  
pp. 1069-1074 ◽  
Author(s):  
Zhi Yong Zhu
Keyword(s):  
Wavelet Transform ◽  
Image Fusion ◽  
Rough Set ◽  
Wavelet Coefficients ◽  
Absolute Value ◽  
High Quality Image ◽  
Quality Image ◽  
Fused Image ◽  
Fusion Scheme ◽  
Fusion Approach

The goal of image fusion is to combine a high-quality image from multi-image about the same object. The paper presents an image fusion scheme based on wavelet transform and rough set. Firstly, the two images are decomposed by orthogonal wavelet; the image’s wavelet coefficients are got. Comparing with the two image’s wavelet coefficients, wavelet coefficients’ matrix is composed of maximum absolute value, the fused image is obtained by the inverse wavelet transform. The last section of the paper verifies the method by experiment and gets the good experimental results.

Application of a New Kind of Wavelet Threshold De-Noising Method in Partial Discharge Signals

2014 ◽  
Vol 889-890 ◽  
pp. 780-785
Author(s):  
Cheng Long Xu ◽  
Hong Yu ◽  
Bi Qiang Du ◽  
Jun Li ◽  
Ze Kun Liu ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Simulation Experiment ◽  
Wavelet Coefficient ◽  
Partial Discharge ◽  
Noise Signal ◽  
Selection Method ◽  
Wavelet Coefficients ◽  
Threshold Selection ◽  
Whole Process ◽  
Maximum Value

In order to more effectively remove noise in partial discharge signals, it is proposed a new threshold selection method in this paper. This method firstly takes the signals before the partial discharge starting to happen as only contain noise signal, and then applies a wavelet transform to the only contain noise signal. Secondly record every detail part and the maximum value of wavelet coefficients of last layer approximation part, and take this value as its layer threshold. And then applies a wavelet transform to the partial discharge signals which contains noises. Next is to process wavelet coefficient of each layer using the selected threshold. Finally, the already handled wavelet coefficients is used to reconstruction the signals. The whole process of threshold choosing is automatic without human intervention. Simulation experiment show that compared with the traditional threshold selection method, this method can be better to remove the noise of the partial discharge signals, and it has a strong practical value.

Image Fusion Algorithm Based on Wavelet Transform and Laplacian Pyramid

2013 ◽  
Vol 860-863 ◽  
pp. 2846-2849
Author(s):  
Ming Jing Li ◽  
Yu Bing Dong ◽  
Xiao Li Wang
Keyword(s):  
Wavelet Transform ◽  
Image Fusion ◽  
Relevant Information ◽  
Experimental Results ◽  
Improve Quality ◽  
Laplacian Pyramid ◽  
Single Image ◽  
Fusion Algorithm ◽  
Fused Image

Image fusion is process which combine relevant information from two or more images into a single image. The aim of fusion is to extract relevant information for research. According to different application and characteristic of algorithm, image fusion algorithm could be used to improve quality of image. This paper complete compare analyze of image fusion algorithm based on wavelet transform and Laplacian pyramid. In this paper, principle, operation, steps and characteristic of fusion algorithm are summarized, advantage and disadvantage of different algorithm are compared. The fusion effects of different fusion algorithm are given by MATLAB. Experimental results shows that quality of fused image would be improve obviously.

scholarly journals Feature Image Watermarking Based on Bicubic Interpolation of Wavelet Coefficients Using CRT

2017 ◽  
Vol 11 (2) ◽  
pp. 93 ◽  
Author(s):  
Prajanto Wahyu Adi ◽  
Yani Parti Astuti ◽  
Egia Rosi Subhiyakto
Keyword(s):  
High Frequency ◽  
Image Watermarking ◽  
Absolute Magnitude ◽  
Wavelet Coefficients ◽  
Absolute Value ◽  
Average Value ◽  
Homogeneous Area ◽  
The Absolute ◽  
Bicubic Interpolation

The main objective of watermarking method is to improve the robustness and imperceptibility. This paper introduces an improved CRT watermarking method using absolute value of interpolated wavelet coefficients aiming to improve the imperceptibility and robustness. The standard CRT method embeds the watermark bits on the blocks of pixels evenly. Hence, it can significantly reduce the quality of watermarked images when the watermark lies on the homogeneous area. Otherwise, the proposed method is embedding the watermark bits on the heterogeneous area by sorting the absolute magnitude of wavelet coefficients descending. The waveletcoefficients are selected from high frequency wavelet sub band HH. This scheme is able to determine the appropriate embedding location in certain range of value. The watermark bits are then embedding on the selectedpixel value using CRT scheme. The result shows that the average imperceptibility value the CRT is 0.9980 while the proposed method has average value of 0.9993. On robustness against compression, the proposed method achieves better result compared to the CRT with the average NC values of 0.7916 higher than the CRT value of 0.7530. These prove that the proposed method has better performance in term of imperceptibility and robustness against compression than the CRT method.

scholarly journals Embedding with Pca Based Svd Framelet Transform with Visual Cryptography In Video

2019 ◽  
Vol 8 (11) ◽  
pp. 1752-1757
Keyword(s):  
Digital Watermarking ◽  
Visual Cryptography ◽  
Principal Component ◽  
Computational Time ◽  
Video Frame ◽  
Secret Message ◽  
Main Task ◽  
Wavelet Coefficients ◽  
Stego Image ◽  
Secret Information

The goal of watermarking or steganography is not to restrict access to the original image, to ensure that embedded data remain recoverable. Digital watermarking is a technique providing embedded secure information in images, digital watermarking is the process of inserting data into an image in a way that it can be used to make an assertion about the image. But the proposed system studies a comprehensive approach of embedding secret information inside the video. A hybrid video steganographic scheme based on Framelet transform (FT) with Principal Component Analysis (PCA) is introduced. The main purpose of using PCA is to reduce correlation among wavelet coefficients from wavelet decomposition of each video frame. Using this decomposition, the secret message can be dispersed into the uncorrelated coefficients. Framelet transform helps to decompose video file into several frames. The secret message is embedded inside the principal components of low frequency wavelet coefficients. Achieving high bit rate data embedding is the main task. The proposed system is robust against numerous attacks like geometric attack, filtering, contrast adjustment. After embedding the secret information , (2,2_VSSS) as Visual cryptographic encryption is implemented to maintain the secrecy of this information against hackers.The main aim of this study is to obtain impercibility which is the human eye may not be able to detect differences between the original video and reconstructed image. Even after embedding, the quality of the stego image is good, which is proved by achieving better a PSNR value, and the stego image does not give much variation irrespective of different imaging conditions in the proposed VDWT mechanism. The proposed method achieves high PSNR than the existing methods, and nominal computational time is achieved for retrieving the secret information

scholarly journals High-Capacity Image Steganography with Minimum Modified Bits Based on Data Mapping and LSB Substitution

2018 ◽  
Vol 8 (11) ◽  
pp. 2199 ◽  
Author(s):  
Abdul Zakaria ◽  
Mehdi Hussain ◽  
Ainuddin Wahab ◽  
Mohd Idris ◽  
Norli Abdullah ◽  
...  
Keyword(s):  
Signal To Noise Ratio ◽  
High Capacity ◽  
Visual Quality ◽  
Data Mapping ◽  
Embedding Capacity ◽  
Secret Data ◽  
Stego Image ◽  
Mapping Strategy ◽  
Lsb Substitution

Steganography is the art and practice of communication using hidden messages. The least significant bits (LSB) based method is the well-known type of steganography in the spatial domain. Usually, achieving the larger embedding capacity in LSB-based methods requires a large number of LSB bits modification which indirectly reduces the visual quality of stego-image and increases the risk of steganalysis detection attacks. In this study, we propose a novel steganography method with data mapping strategy which can reduce the number of bits modification per pixel. In the proposed method, four secret data bits are mapped with the four most significant bits of a cover pixel. Furthermore, the only two LSBs of a pixel are modified to indicate the mapping strategy. Experimental results show that the proposed method is able to achieve 3.48% larger embedding capacity while enhancing the visual quality (i.e., peak signal to noise ratio (PSNR) 3.73 dB) and reducing the modification of 0.76 bits per pixel. Moreover, the proposed method provides security against basic Regular and Singular groups (RS) steganalysis and histogram steganalysis detection attacks.

An Algorithm to Control Watermarking Capacity Using PSNR

2014 ◽  
Vol 989-994 ◽  
pp. 2368-2372
Author(s):  
Yong Xing ◽  
Dao Shun Wang
Keyword(s):  
Image Watermarking ◽  
Region Of Interest ◽  
Good Control ◽  
Spatial Domain ◽  
Experimental Results ◽  
Stego Image ◽  
Trade Off

Some existing methods for estimating image watermarking capacity may degenerate the quality of stego-image when the estimated capacity is achieved. In this paper, based on the Region of Interest (ROI) model, we discuss on the capacity problem and the quality of stego-images using PSNR. Considering the trade-off between capacity and quality, our method estimates the allowable distortion for each pixel in spatial domain in terms of the specific PSNR of stego-image. Experimental results show our method ensures a good control over the capacity without introducing artifacts.

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