scholarly journals INFLUENCE OF DIGITAL IMAGES PRELIMINARY NOISING ON STATISTICAL STEGDETECTORS PERFORMANCE

2021 ◽  
Vol 1 (1) ◽  
pp. 184-193
Author(s):  
D. O. Progonov
Keyword(s):  
Shot Noise ◽  
Communication Systems ◽  
Thermal Noise ◽  
Digital Images ◽  
Image Sensor ◽  
Cover Image ◽  
Natural Image ◽  
Adaptive Embedding ◽  
Cover Ratio ◽  
Embedding Methods

Context. The problem of sensitive information protection during data transmission in communication systems was considered. The case of reliable detection of stego images formed according to advanced embedding methods was investigated. The object of research is digital images steganalysis of adaptive steganographic methods. Objective. The goal of the work is performance analysis of statistical stegdetectors for adaptive embedding methods in case of preliminary noising of analyzed image with thermal and shot noises. Method. The image pre-processing (calibration) method was proposed for improving stego-to-cover ratio for state-of-the-art adaptive embedding methods HUGO, MG and MiPOD. The method is aimed at amplifying negligible changes of cover image caused by message hiding with usage of Gaussian and Poisson noises. The former one is related to influence the thermal noise of chargecoupled device (CCD) based image sensor during data acquisition. The latter one is related to shot noise that originates from stochastic process of electron emission by photons hitting of CCD elements. During the research, parameters of thermal noise were estimated with two-dimensional Wiener filter, while sliding window of size 5·5 pixels was used for parameters evaluation for shot noise. Results. The dependencies of detection error on cover image payload for advance HUGO, MG and MiPOD embedding methods were obtained. The results were presented for the case of image pre-noising with both Gaussian and Poisson noises, and varying of feature pre-processing methods. Conclusions. The conducted experiments confirmed effectiveness of proposed approach for image calibration with Poisson noise. Obtained results allow us to recommend linearly transformed features to be used for improving stegdetector performance by natural image processing. The prospects for further research may include investigation usage of special noises, such as fractal noises, for improving stego-to-cover ratio for advanced embedding methods.

Thermal Noise Effect in FTTH Communication Systems

2008 ◽  
Author(s):  
Mohammad Syuhaimi Ab-Rahman ◽  
Mohd Faisal Ibrahim ◽  
Ashrani A. Abd. Rahni
Keyword(s):  
Communication Systems ◽  
Thermal Noise ◽  
Noise Effect

Estimation variance of dual-rotating-retarder Mueller matrix polarimeter in the presence of Gaussian thermal noise and poisson shot noise

2019 ◽  
Vol 22 (2) ◽  
pp. 025701 ◽  
Author(s):  
Naicheng Quan ◽  
Chunmin Zhang ◽  
Tingkui Mu ◽  
Siyuan Li ◽  
Caiyin You
Keyword(s):  
Shot Noise ◽  
Thermal Noise ◽  
Mueller Matrix ◽  
Estimation Variance ◽  
Poisson Shot Noise

scholarly journals Detection of Stego Images with Adaptively Embedded Data by Component Analysis Methods

2021 ◽  
Vol 6 (2) ◽  
pp. 146-154
Author(s):  
Dmytro Progonov ◽  
Keyword(s):  
Communication Systems ◽  
Principal Component ◽  
Component Analysis ◽  
Detection Accuracy ◽  
Sensitive Data ◽  
Analysis Methods ◽  
Cover Ratio ◽  
High Pass ◽  
Selection Of ◽  
Image Calibration

Ensuring the effective protection of personal and corporate sensitive data is topical task today. The special interest is taken at sensitive data leakage prevention during files transmission in communication systems. In most cases, these leakages are conducted by usage of advance adaptive steganographic methods. These methods are aimed at minimizing distortions of cover files, such as digital images, during data hiding that negatively impact on detection accuracy of formed stego images. For overcoming this shortcoming, it was proposed to pre-process (calibrate) analyzed images for increasing stego- to-cover ratio. The modern paradigm of image calibration is based on usage of enormous set of high-pass filters. However, selection of filter(s) that maximizes the probability of stego images detection is non-trivial task, especially in case of limited a prior knowledge about embedding methods. For solving this task, we proposed to use component analysis methods for image calibration, namely principal components analysis. Results of comparative analysis of novel maxSRMd2 cover rich model and proposed solution showed that principal component analysis allows increasing detection accuracy up to 1.5% even in the most difficult cases (low cover image payload and absence of cover- stego images pairs in training set).

Noise test method for dual-gate MOSFET device

2019 ◽  
Vol 33 (31) ◽  
pp. 1950387
Author(s):  
Xiaofei Jia ◽  
Wenhao Chen ◽  
Bing Ding ◽  
Liang He
Keyword(s):  
Shot Noise ◽  
Thermal Noise ◽  
Drain Current ◽  
Test Method ◽  
Current Noise ◽  
Electronic Components ◽  
Positive Role ◽  
Noise Characteristics ◽  
20 Nm ◽  
Device Noise

In recent years, with the development of mesoscopic physics and nanoelectronics, the research on noise and testing technology of electronic components has been developed. It is well known that noise can characterize the transmission characteristics of carriers in nanoscale electronic components. With the continuous shrinking of the device size, the carrier transport of nanoscale MOSFET devices has been gradually transformed from the traditional drift-diffusion to become the quasi-ballistic or ballistic transport, and its current noise contains granular and thermal noise. The paper by Jeon et al. [The first observation of shot noise characteristics in 10-nm scale MOSFETs, in Proc. 2009 Symp. VLSI Technology (IEEE, Honolulu, 2009), pp. 48–49] presents the variation relation of 20 nm MOSFET current noise with source–drain current and voltage, and its current noise characteristic is between thermal noise and shot noise, so 20 nm MOSFET current noise is shot noise and thermal noise. The paper by Navid et al. [J. Appl. Phys. 101 (2007) 124501] shows through simulation that the 60 nm MOSFET current noise is suppressed shot noise and thermal noise. At present, the current noise has seriously affected the basic performance of the device, thus the circuit cannot work normally. Therefore, it is necessary to study the generation mechanism and characteristics of current noise in electronic components so as to suppress device noise, which can not only realize the reduction of device noise, but also play a positive role in the work-efficiency, life-span and reliability of electronic components.

Voyager planetary radio astronomy: Grain and particle impacts shot noise in Saturn's ring plane

1984 ◽  
Vol 75 ◽  
pp. 289-297
Author(s):  
M.G. Aubier ◽  
N. Meyer-Vernet ◽  
B.M. Pedersen
Keyword(s):  
Quantitative Evaluation ◽  
Radio Astronomy ◽  
Shot Noise ◽  
Thermal Noise ◽  
Ring Plane ◽  
Radio Emissions ◽  
Electrons And Ions ◽  
Voyager 2 ◽  
Intense Noise

ABSTRACTRadio emissions were observed by Voyager 1 and Voyager 2 planetary radio astronomy experiments during saturnian ring plane crossings. Several mechanisms are proposed and tested. Quasi-thermal noise is negligible. Shot noise due to electrons and ions collected and/or emitted by antennas and spacecraft can explain not too intense noise. However, for the strong noise in the ring plane, observed by Voyager 2 at ~ 2.9 Rs, we must take into account shot noise due to grain impacts. A quantitative evaluation of this process gives an estimation of the dust size ~ 1.1 µm close to the G ring.

Block-Based High Capacity Multilevel Image Steganography

2016 ◽  
Vol 25 (08) ◽  
pp. 1650091 ◽  
Author(s):  
Geeta Kasana ◽  
Kulbir Singh ◽  
Satvinder Singh Bhatia
Keyword(s):  
Digital Images ◽  
High Capacity ◽  
Block Size ◽  
Visual Quality ◽  
Cover Image ◽  
Embedding Capacity ◽  
Secret Data ◽  
Block Based ◽  
High Embedding Capacity

This paper proposes a block-based high capacity steganography technique for digital images. The cover image is decomposed into blocks of equal size and the largest pixel of each block is found to embed the secret data bits and also the smallest pixel of each block is used for embedding to enhance the capacity. Embedding of secret data is performed using the concept that the pixel of a cover image has only two states — even and odd. Multilevel approach is also combined in the proposed technique to achieve high embedding capacity. In order to make the proposed technique more secure, a key is generated using embedding levels, block size, pixel embedding way, encryption parameters, and starting blocks of each embedding levels. Embedding capacity and visual quality of stego images generated by the proposed steganography technique are higher than the existing techniques. Steganalysis tests have been performed to show the un-detectability and imperceptibility of the proposed technique.

scholarly journals CMOS Tunable-Color Image Sensor With Dual-ADC Shot-Noise-Aware Dynamic Range Extension

2013 ◽  
Vol 60 (8) ◽  
pp. 2116-2129 ◽  
Author(s):  
Derek Ho ◽  
Noor ◽  
Krull ◽  
Glenn Gulak ◽  
Roman Genov
Keyword(s):  
Shot Noise ◽  
Dynamic Range ◽  
Color Image ◽  
Image Sensor ◽  
Range Extension

scholarly journals Comparison of Video Steganography Methods for Watermark Embedding

2016 ◽  
Vol 19 (1) ◽  
pp. 53-60
Author(s):  
David Griberman ◽  
Pavel Rusakov
Keyword(s):  
Wavelet Transforms ◽  
Discrete Wavelet ◽  
Video Steganography ◽  
Embedding Efficiency ◽  
Java Programming ◽  
Watermark Embedding ◽  
Adaptive Embedding ◽  
Potential Improvement ◽  
The Impact ◽  
Embedding Methods

Abstract The paper focuses on the comparison of video steganography methods for the purpose of digital watermarking in the context of copyright protection. Four embedding methods that use Discrete Cosine and Discrete Wavelet Transforms have been researched and compared based on their embedding efficiency and fidelity. A video steganography program has been developed in the Java programming language with all of the researched methods implemented for experiments. The experiments used 3 video containers with different amounts of movement. The impact of the movement has been addressed in the paper as well as the ways of potential improvement of embedding efficiency using adaptive embedding based on the movement amount. Results of the research have been verified using a survey with 17 participants.

Sign in / Sign up

Export Citation Format

Share Document