scholarly journals AGARNet: Adaptively Gated JPEG Compression Artifacts Removal Network for a Wide Range Quality Factor

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 20160-20170 ◽  
Author(s):  
Yoonsik Kim ◽  
Jae Woong Soh ◽  
Nam Ik Cho
Entropy ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. 421
Author(s):  
Dariusz Puchala ◽  
Kamil Stokfiszewski ◽  
Mykhaylo Yatsymirskyy

In this paper, the authors analyze in more details an image encryption scheme, proposed by the authors in their earlier work, which preserves input image statistics and can be used in connection with the JPEG compression standard. The image encryption process takes advantage of fast linear transforms parametrized with private keys and is carried out prior to the compression stage in a way that does not alter those statistical characteristics of the input image that are crucial from the point of view of the subsequent compression. This feature makes the encryption process transparent to the compression stage and enables the JPEG algorithm to maintain its full compression capabilities even though it operates on the encrypted image data. The main advantage of the considered approach is the fact that the JPEG algorithm can be used without any modifications as a part of the encrypt-then-compress image processing framework. The paper includes a detailed mathematical model of the examined scheme allowing for theoretical analysis of the impact of the image encryption step on the effectiveness of the compression process. The combinatorial and statistical analysis of the encryption process is also included and it allows to evaluate its cryptographic strength. In addition, the paper considers several practical use-case scenarios with different characteristics of the compression and encryption stages. The final part of the paper contains the additional results of the experimental studies regarding general effectiveness of the presented scheme. The results show that for a wide range of compression ratios the considered scheme performs comparably to the JPEG algorithm alone, that is, without the encryption stage, in terms of the quality measures of reconstructed images. Moreover, the results of statistical analysis as well as those obtained with generally approved quality measures of image cryptographic systems, prove high strength and efficiency of the scheme’s encryption stage.


2015 ◽  
Vol 76 (1) ◽  
pp. 1509-1530 ◽  
Author(s):  
Deng-Yuan Huang ◽  
Ching-Ning Huang ◽  
Wu-Chih Hu ◽  
Chih-Hung Chou

2000 ◽  
Vol 628 ◽  
Author(s):  
K.C. Cheng ◽  
H.L.W. Chan ◽  
S.W. Or ◽  
C.L. Choy

ABSTRACTThe mechanical quality factor Qm of 1–3 piezoelectric lead zirconate titanate/epoxy composites with ceramic volume fractions φ ranging from 0.18 to 0.82 has been measured. This range of φ is wider than those previously investigated by other workers. The width-to-thickness ratio of the ceramic phase is sufficiently small that there are no significant mode couplings. The observed Qm agrees well with the prediction of the parallel model. It is found that Qm increases from 34 to 100 as φ changes from 0 to 0.82 and then increases sharply to reach a high value of 600 at φ = 1. Therefore Qm can be tailored to give a wide range of values by varying φ.


2011 ◽  
Vol 121-126 ◽  
pp. 2190-2194
Author(s):  
Chao Kui Wu ◽  
Liang Yong Huang

To solve the image feature information on the robustness of JPEG compression problems, we use the third layer of wavelet of images to decompose the approximation sub-band coefficients as the image feature information, analyze the characteristics of the discrete cosine transform in JPEG compression so as to compare the robustness of image feature information under different quality of JPEG compression. The experimental results show that: make the image compression quality factor more than the standard JPEG, the approximate sub-band coefficients of image wavelet as the image feature information has better robustness, and their difference is less than or equal to a smaller threshold.


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