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Articles de revues sur le sujet « DOUBLE QUANTIZATION DETECTION »

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Auteur : Grafiati
Publié le 11 mars 2023

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1

Wang, Zhifeng, Chi Zuo et Chunyan Zeng. « SAE based unified double JPEG compression detection system for Web image forensics ». International Journal of Web Information Systems 17, no 2 (8 février 2021) : 84–98. http://dx.doi.org/10.1108/ijwis-11-2020-0073.

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Purpose Recently, the double joint photographic experts group (JPEG) compression detection tasks have been paid much more attention in the field of Web image forensics. Although there are several useful methods proposed for double JPEG compression detection when the quantization matrices are different in the primary and secondary compression processes, it is still a difficult problem when the quantization matrices are the same. Moreover, those methods for the different or the same quantization matrices are implemented in independent ways. The paper aims to build a new unified framework for detecting the doubly JPEG compression. Design/methodology/approach First, the Y channel of JPEG images is cut into 8 × 8 nonoverlapping blocks, and two groups of features that characterize the artifacts caused by doubly JPEG compression with the same and the different quantization matrices are extracted on those blocks. Then, the Riemannian manifold learning is applied for dimensionality reduction while preserving the local intrinsic structure of the features. Finally, a deep stack autoencoder network with seven layers is designed to detect the doubly JPEG compression. Findings Experimental results with different quality factors have shown that the proposed approach performs much better than the state-of-the-art approaches. Practical implications To verify the integrity and authenticity of Web images, the research of double JPEG compression detection is increasingly paid more attentions. Originality/value This paper aims to propose a unified framework to detect the double JPEG compression in the scenario whether the quantization matrix is different or not, which means this approach can be applied in more practical Web forensics tasks.
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Taimori, Ali, Farbod Razzazi, Alireza Behrad, Ali Ahmadi et Massoud Babaie-Zadeh. « Quantization-Unaware Double JPEG Compression Detection ». Journal of Mathematical Imaging and Vision 54, no 3 (7 octobre 2015) : 269–86. http://dx.doi.org/10.1007/s10851-015-0602-z.

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Wu, Shao Bao, et Dong Sheng Shen. « Blind Detection of Tampered JPEG Image Based on Blocking Artifacts of Double Quantization ». Applied Mechanics and Materials 263-266 (décembre 2012) : 3104–7. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.3104.

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In this paper, a novel approach is proposed to detect JPEG image forgery based on the inconsistencies of quantization tables. The primary quantization table of tempered image is firstly estimated. Then the blocking artifact measure (BAM) of each 8×8 DCT coefficient block is computed using the estimated quantization matrix, and the BAMs of all blocks are sorted in descending order. Select a certain number of blocks of which the BAM is in the front of the order. Labeling the connected components of blocks in order to eliminate some abnormal blocks and gain the connected doctored blocks. Experimental results demonstrate the validity of the proposed approach.
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Zhu, Nan, Junge Shen et Xiaotong Niu. « Double JPEG Compression Detection Based on Noise-Free DCT Coefficients Mixture Histogram Model ». Symmetry 11, no 9 (4 septembre 2019) : 1119. http://dx.doi.org/10.3390/sym11091119.

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With the wide use of various image altering tools, digital image manipulation becomes very convenient and easy, which makes the detection of image originality and authenticity significant. Among various image tampering detection tools, double JPEG image compression detector, which is not sensitive to specific image tampering operation, has received large attention. In this paper, we propose an improved double JPEG compression detection method based on noise-free DCT (Discrete Cosine Transform) coefficients mixture histogram model. Specifically, we first extract the block-wise DCT coefficients histogram and eliminate the quantization noise which introduced by rounding and truncation operations. Then, for each DCT frequency, a posterior probability can be obtained by solving the DCT coefficients mixture histogram with a simplified model. Finally, the probabilities from all the DCT frequencies are accumulated to give the posterior probability of a DCT block being authentic or tampered. Extensive experimental results in both quantitative and qualitative terms prove the superiority of our proposed method when compared with the state-of-the-art methods.
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Tiwari, Archana, et Manisha Sharma. « An Image Authentication Algorithm Using Combined Approach of Watermarking and Vector Quantization ». Journal of Intelligent Systems 27, no 1 (26 janvier 2018) : 31–45. http://dx.doi.org/10.1515/jisys-2017-0026.

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Abstract This paper presents a two-stage watermarking technique for image authentication adapting the advantages of vector quantization (VQ). In the proposed algorithm, robust watermark and semifragile watermark are embedded independently in two successive stages. Robust watermark and VQ enhance the security of the system by providing double protection to the designed system, while semifragile watermark helps in authenticating the received image. Watermarks of varying sizes are embedded in the cover image, and their performance is measured in terms of peak signal-to-noise ratio (PSNR), weighted PSNR, and bit error rate. A threshold-based approach is suggested for identification of attacks as acceptable or malicious. The experimental results demonstrate the capabilities of the method in classifying attacks and correctly locating the tampered area. It is possible to detect and determine tampering with very high sensitivity. The present scheme outperforms previous algorithms in terms of imperceptibility, attack classification criteria, robustness feature, and tamper detection feature.
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Abbasi Aghamaleki, Javad, et Alireza Behrad. « Inter-frame video forgery detection and localization using intrinsic effects of double compression on quantization errors of video coding ». Signal Processing : Image Communication 47 (septembre 2016) : 289–302. http://dx.doi.org/10.1016/j.image.2016.07.001.

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Duan, Yongqiang, Zhenzhan Wang, Haowen Xu et Wenyu Wang. « Simulation of the Spectrum Response for the THz Atmosphere Limb Sounder (TALIS) ». Sensors 20, no 2 (15 janvier 2020) : 498. http://dx.doi.org/10.3390/s20020498.

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The THz atmospheric limb sounder (TALIS) is a microwave radiometer developed by the National Space Science Center of the Chinese Academy of Sciences for the detection of atmospheric trace gases. The observation range of the instrument mainly focuses on the middle and upper atmosphere (10–100 km above the earth’s surface). The detection targets include the temperature, pressure, and more than 10 kinds of atmospheric components. Its scientific goal is to improve our comprehension of atmospheric chemical composition and dynamics, and to monitor environmental pollution and sources in the atmosphere. The TALIS instrument is composed of an antenna, superheterodyne radiometers, and digital fast Fourier transform (FFT) spectrometers. By measuring the atmospheric thermal radiance in the wide frequency band with 118, 190, 240, and 643 GHz as the center frequency, the required volume mixing ratio (VMR) of atmospheric chemical species can be obtained. This paper introduces the characteristics of the TALIS instrument, and establishes a simulation model for the TALIS spectrometer. Through a joint simulation with an atmosphere radiative transfer simulator (ARTS), the TALIS instrument performance is evaluated from the aspects of calibration, the imbalance of two sidebands, the spectrum resolution, and quantization. The simulation results show that the two-point calibration can well-restore the radiance spectrum of the scene target and remove the influence of the spectral response function (SRF); the double side band (DSB) receiver with a 2 MHz resolution can meet the sensitivity and spectrum resolution requirements. Finally, the sensitivity errors of different quantization bits are given by the simulation and the results show that at 8-bit, the sensitivity and its degradation ratio are 1.251 K and 1.036 at a 2 MHz spectrum resolution and 100 ms integration time, respectively.
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Li, Xiangyu, Jianping Hu et Xiaowei Liu. « A High-Performance Digital Interface Circuit for a High-Q Micro-Electromechanical System Accelerometer ». Micromachines 9, no 12 (19 décembre 2018) : 675. http://dx.doi.org/10.3390/mi9120675.

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Micro-electromechanical system (MEMS) accelerometers are widely used in the inertial navigation and nanosatellites field. A high-performance digital interface circuit for a high-Q MEMS micro-accelerometer is presented in this work. The mechanical noise of the MEMS accelerometer is decreased by the application of a vacuum-packaged sensitive element. The quantization noise in the baseband of the interface circuit is greatly suppressed by a 4th-order loop shaping. The digital output is attained by the interface circuit based on a low-noise front-end charge-amplifier and a 4th-order Sigma-Delta (ΣΔ) modulator. The stability of high-order ΣΔ was studied by the root locus method. The gain of the integrators was reduced by using the proportional scaling technique. The low-noise front-end detection circuit was proposed with the correlated double sampling (CDS) technique to eliminate the 1/f noise and offset. The digital interface circuit was implemented by 0.35 μm complementary metal-oxide-semiconductor (CMOS) technology. The high-performance digital accelerometer system was implemented by double chip integration and the active interface circuit area was about 3.3 mm × 3.5 mm. The high-Q MEMS accelerometer system consumed 10 mW from a single 5 V supply at a sampling frequency of 250 kHz. The micro-accelerometer system could achieve a third harmonic distortion of −98 dB and an average noise floor in low-frequency range of less than −140 dBV; a resolution of 0.48 μg/Hz1/2 (@300 Hz); a bias stability of 18 μg by the Allen variance program in MATLAB.
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Chen, Fuchao, Baoxia Fang, Peng Li et Sicen Wang. « A Fast and Validated HPLC Method for the Simultaneous Analysis of Five 5-HT3 Receptor Antagonists via the Quantitative Analysis of Multicomponents by a Single Marker ». International Journal of Analytical Chemistry 2021 (26 juin 2021) : 1–9. http://dx.doi.org/10.1155/2021/5533646.

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In this study, a new strategy for the simultaneous quantization of five serotonin 5-hydroxytryptamine receptor antagonists—ondansetron, azasetron, ramosetron, granisetron, and tropisetron—either in infusion samples or in injection dosage form was first established based on high-performance liquid chromatography combined with a quantitative analysis of multiple components by a single marker. The quantitative analysis of multicomponents by a single marker method was conducted with ondansetron as an internal reference substance and performed using relative retention time and ultraviolet spectral similarity as the double indicator. The quantitative analysis of the 5-HT3 receptor antagonists was calculated and investigated based on the relative correction factors. Chromatographic separation was achieved using a C18 column (150 mm × 4.6 mm, 5.0 μm), and the mobile phase was composed of acetonitrile-0.05 mol·L−1 potassium dihydrogen phosphate (pH 4.0) (25 : 75) at a flow rate of 1.0 mL·min−1 and detection wavelengths of 307 nm (ondansetron, azasetron, ramosetron), 302 nm (granisetron), and 285 nm (tropisetron). In addition, the accuracy of the quantitative analysis of multicomponents by a single marker method was compared with an external standard method, and no significant difference was observed between the two methods. The established method is rapid, is easy, and does not require many reference substances, and it can been successfully applied as part of the quality control of the five 5-HT3 receptor antagonists in their injection dosage form and infusion sample drugs in hospitals.
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Huang, Fangjun, Jiwu Huang et Yun Qing Shi. « Detecting Double JPEG Compression With the Same Quantization Matrix ». IEEE Transactions on Information Forensics and Security 5, no 4 (décembre 2010) : 848–56. http://dx.doi.org/10.1109/tifs.2010.2072921.

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Yang, Jianquan, Jin Xie, Guopu Zhu, Sam Kwong et Yun-Qing Shi. « An Effective Method for Detecting Double JPEG Compression With the Same Quantization Matrix ». IEEE Transactions on Information Forensics and Security 9, no 11 (novembre 2014) : 1933–42. http://dx.doi.org/10.1109/tifs.2014.2359368.

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Niu, Yakun, Xiaolong Li, Yao Zhao et Rongrong Ni. « An enhanced approach for detecting double JPEG compression with the same quantization matrix ». Signal Processing : Image Communication 76 (août 2019) : 89–96. http://dx.doi.org/10.1016/j.image.2019.04.016.

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Wang, Jinwei, Hao Wang, Jian Li, Xiangyang Luo, Yun-Qing Shi et Sunil Kumar Jha. « Detecting Double JPEG Compressed Color Images With the Same Quantization Matrix in Spherical Coordinates ». IEEE Transactions on Circuits and Systems for Video Technology 30, no 8 (août 2020) : 2736–49. http://dx.doi.org/10.1109/tcsvt.2019.2922309.

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Aghamaleki, Javad Abbasi, et Alireza Behrad. « Detecting double compressed MPEG videos with the same quantization matrix and synchronized group of pictures structure ». Journal of Electronic Imaging 27, no 01 (28 février 2018) : 1. http://dx.doi.org/10.1117/1.jei.27.1.013031.

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Niu, Yakun, Xiaolong Li, Yao Zhao et Rongrong Ni. « Detection of double JPEG compression with the same quantization matrix via convergence analysis ». IEEE Transactions on Circuits and Systems for Video Technology, 2021, 1. http://dx.doi.org/10.1109/tcsvt.2021.3097351.

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Ye, Kuan, Kai Zhou, Ren Zhigang, Ruizhe Zhang, Chunsheng Li, Hongyu Sun et Songling Huang. « Ultrasonic unilateral double-position excitation lamb wave defect detection and quantification method for ground electrode of transmission tower ». International Journal of Applied Electromagnetics and Mechanics, 13 juillet 2021, 1–15. http://dx.doi.org/10.3233/jae-210039.

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The power transmission tower’s ground electrode defect will affect its normal current dispersion function and threaten the power system’s safe and stable operation and even personal safety. Aiming at the problem that the buried grounding grid is difficult to be detected, this paper proposes a method for identifying the ground electrode defects of transmission towers based on single-side multi-point excited ultrasonic guided waves. The geometric model, ultrasonic excitation model, and physical model are established, and the feasibility of ultrasonic guided wave detection is verified through the simulation and experiment. In actual inspection, it is equally important to determine the specific location of the defect. Therefore, a multi-point excitation method is proposed to determine the defect’s actual position by combining the ultrasonic guided wave signals at different excitation positions. Besides, the precise quantification of flat steel grounding electrode defects is achieved through the feature extraction-neural network method. Field test results show that, compared with the commercial double-sided excitation transducer, the single-sided excitation transducer proposed in this paper has a lower defect quantization error in defect quantification. The average quantization error is reduced by approximately 76%.
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Phung, Dong Van, et Loi Duong Van. « Gauge Origin of Double Dark Parity and Implication for Dark Matter ». Communications in Physics 32, no 2 (27 mars 2022). http://dx.doi.org/10.15625/0868-3166/16784.

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Dark matter must be stabilized over the cosmological timescale, which demands the existence of a stabilizing symmetry, derived by a dark charge, $D$. The existence of this dark charge may affect the quantization of electric charge, which theoretically shifts the electric charge, thus the hypercharge to a novel gauge extension, $SU(3)_C\otimes SU(2)_L\otimes U(1)_Y\otimes U(1)_N$, where $N$ determines $D=T_3+N$, similar to $Q=T_3+Y$. New observation of this work is that the dark charge is broken down to two kinds of dark parity, $Z_2$ and $Z'_2$, which subsequently imply three scenarios of dark matter. The relic density and direct detection for the scenario of two-component dark matter are investigated in detail.
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Suh, Han-sok, Jian Meng, Ty Nguyen, Vijay Kumar, Yu Cao et Jae-sun Seo. « Algorithm-Hardware Co-Optimization for Energy-Efficient Drone Detection on Resource-Constrained FPGA ». ACM Transactions on Reconfigurable Technology and Systems, 15 février 2023. http://dx.doi.org/10.1145/3583074.

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Convolutional neural network (CNN) based object detection has achieved very high accuracy, e.g. single-shot multi-box detectors (SSD) can efficiently detect and localize various objects in an input image. However, they require a high amount of computation and memory storage, which makes it difficult to perform efficient inference on resource-constrained hardware devices such as drones or unmanned aerial vehicles (UAVs). Drone/UAV detection is an important task for applications including surveillance, defense, and multi-drone self-localization and formation control. In this paper, we designed and co-optimized algorithm and hardware for energy-efficient drone detection on resource-constrained FPGA devices. We trained SSD object detection algorithm with a custom drone dataset. For inference, we employed low-precision quantization and adapted the width of the SSD CNN model. To improve throughput, we use dual-data rate operations for DSPs to effectively double the throughput with limited DSP counts. For different SSD algorithm models, we analyze accuracy or mean average precision (mAP) and evaluate the corresponding FPGA hardware utilization, DRAM communication, throughput optimization. We evaluated the FPGA hardware for a custom drone dataset, Pascal VOC and COCO2017. Our proposed design achieves a high mAP of 88.42% on the multi-drone dataset, with a high energy-efficiency of 79 GOPS/W and throughput of 158 GOPS using Xilinx Zynq ZU3EG FPGA device on the Open Vision Computer version 3 (OVC3) platform. Our design achieves 1.1-8.7 × higher energy efficiency than prior works which used the same Pascal VOC dataset, using the same FPGA device, but at a low-power consumption of 2.54 W. For COCO dataset, our MobileNet-V1 implementation achieved mAP of 16.8, and 4.9 FPS/W for energy-efficiency, which is ∼ 1.9X higher than prior FPGA works or other commercial hardware platforms.
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Wang, Hao, Jinwei Wang, Xiangyang Luo, Yuhui Zheng, Bin Ma, Jinsheng Sun et Sunil Kr Jha. « Detecting aligned double JPEG compressed color image with same quantization matrix based on the stability of image ». IEEE Transactions on Circuits and Systems for Video Technology, 2021, 1. http://dx.doi.org/10.1109/tcsvt.2021.3111195.

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