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  • Open Access

    ARTICLE

    Restoration of the JPEG Maximum Lossy Compressed Face Images with Hourglass Block-GAN

    Jongwook Si1, Sungyoung Kim2,*

    CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 2893-2908, 2024, DOI:10.32604/cmc.2023.046081 - 26 March 2024

    Abstract In the context of high compression rates applied to Joint Photographic Experts Group (JPEG) images through lossy compression techniques, image-blocking artifacts may manifest. This necessitates the restoration of the image to its original quality. The challenge lies in regenerating significantly compressed images into a state in which these become identifiable. Therefore, this study focuses on the restoration of JPEG images subjected to substantial degradation caused by maximum lossy compression using Generative Adversarial Networks (GAN). The generator in this network is based on the U-Net architecture. It features a new hourglass structure that preserves the characteristics… More >

  • Open Access

    ARTICLE

    Improved Data Stream Clustering Method: Incorporating KD-Tree for Typicality and Eccentricity-Based Approach

    Dayu Xu1,#, Jiaming Lü1,#, Xuyao Zhang2, Hongtao Zhang1,*

    CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 2557-2573, 2024, DOI:10.32604/cmc.2024.045932 - 27 February 2024

    Abstract Data stream clustering is integral to contemporary big data applications. However, addressing the ongoing influx of data streams efficiently and accurately remains a primary challenge in current research. This paper aims to elevate the efficiency and precision of data stream clustering, leveraging the TEDA (Typicality and Eccentricity Data Analysis) algorithm as a foundation, we introduce improvements by integrating a nearest neighbor search algorithm to enhance both the efficiency and accuracy of the algorithm. The original TEDA algorithm, grounded in the concept of “Typicality and Eccentricity Data Analytics”, represents an evolving and recursive method that requires… More >

  • Open Access

    ARTICLE

    High-Imperceptibility Data Hiding Scheme for JPEG Images Based on Direction Modification

    Li Liu1, Jing Li1, Yingchun Wu1, Chin-Chen Chang2,*, Anhong Wang1

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 1415-1432, 2023, DOI:10.32604/csse.2023.040039 - 28 July 2023

    Abstract Data hiding (DH) is an important technology for securely transmitting secret data in networks, and has increasing become a research hotspot throughout the world. However, for Joint photographic experts group (JPEG) images, it is difficult to balance the contradiction among embedded capacity, visual quality and the file size increment in existing data hiding schemes. Thus, to deal with this problem, a high-imperceptibility data hiding for JPEG images is proposed based on direction modification. First, this proposed scheme sorts all of the quantized discrete cosine transform (DCT) block in ascending order according to the number of… More >

  • Open Access

    ARTICLE

    A Deep Learning Driven Feature Based Steganalysis Approach

    Yuchen Li1, Baohong Ling1,2,*, Donghui Hu1, Shuli Zheng1, Guoan Zhang3

    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 2213-2225, 2023, DOI:10.32604/iasc.2023.029983 - 21 June 2023

    Abstract The goal of steganalysis is to detect whether the cover carries the secret information which is embedded by steganographic algorithms. The traditional steganalysis detector is trained on the stego images created by a certain type of steganographic algorithm, whose detection performance drops rapidly when it is applied to detect another type of steganographic algorithm. This phenomenon is called as steganographic algorithm mismatch in steganalysis. To resolve this problem, we propose a deep learning driven feature-based approach. An advanced steganalysis neural network is used to extract steganographic features, different pairs of training images embedded with steganographic More >

  • Open Access

    ARTICLE

    Effect of PEG Incorporation on Physicochemical and in vitro Degradation of PLLA/PDLLA Blends: Application in Biodegradable Implants

    Mochamad Chalid1,*, Gifrandy Gustiraharjo1, Azizah Intan Pangesty1, Alyssa Adyandra1, Yudan Whulanza2, Sugeng Supriadi2

    Journal of Renewable Materials, Vol.11, No.7, pp. 3043-3056, 2023, DOI:10.32604/jrm.2023.026788 - 05 June 2023

    Abstract Polyethylene glycol (PEG) was added at different concentrations to the blend of poly(L-lactic acid) (PLLA) and poly(D,L-lactic acid)(PDLLA) to tailor the properties. The differential scanning calorimetry (DSC) measurement showed that all blends were miscible due to shifting a single glass transition temperature into a lower temperature for increasing PEG content. The DSC, FTIR, and XRD results implied the crystallinity enhancement for PEG content until 8 wt%, then decreased at 12 wt% PEG. The XRD result indicated the homo crystalline phase formation in all blends and no stereocomplex crystal. The in vitro degradation study indicated that… More > Graphic Abstract

    Effect of PEG Incorporation on Physicochemical and <i>in vitro</i> Degradation of PLLA/PDLLA Blends: Application in Biodegradable Implants

  • Open Access

    ARTICLE

    Influence of High-Robustness Polycarboxylate Superplasticizer on the Performances of Concrete Incorporating Fly Ash and Manufactured Sand

    Panpan Cao1,2, Xiulin Huang1,3,*, Shenxu Bao4, Jin Yang5,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.8, pp. 2041-2051, 2023, DOI:10.32604/fdmp.2023.027399 - 04 April 2023

    Abstract Using ethylene glycol monovinyl polyoxyethylene ether, 2-acrylamido-2-methylpropane sulfonic acid (AMPS) and acrylic acid as the main synthetic monomers, a high robustness polycarboxylate superplasticizer was prepared. The effects of initial temperature, ratio of acid to ether, amount of chain transfer agent, and synthesis process on the properties of the superplasticizer were studied. The molecular structure was characterized by GPC (Gel Permeation Chromatography) and IR (Infrared Spectrometer). As shown by the results, when the initial reaction temperature is 15°C, the ratio of acid to ether is 3.4:1 and the acrylic acid pre-neutralization is 15%, The AMPS substitution More > Graphic Abstract

    Influence of High-Robustness Polycarboxylate Superplasticizer on the Performances of Concrete Incorporating Fly Ash and Manufactured Sand

  • Open Access

    ARTICLE

    Detecting Double JPEG Compressed Color Images via an Improved Approach

    Xiaojie Zhao1, Xiankui Meng1, Ruyong Ren2, Shaozhang Niu2,*, Zhenguang Gao3

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1765-1781, 2023, DOI:10.32604/cmc.2023.029552 - 06 February 2023

    Abstract Detecting double Joint Photographic Experts Group (JPEG) compression for color images is vital in the field of image forensics. In previous researches, there have been various approaches to detecting double JPEG compression with different quantization matrices. However, the detection of double JPEG color images with the same quantization matrix is still a challenging task. An effective detection approach to extract features is proposed in this paper by combining traditional analysis with Convolutional Neural Networks (CNN). On the one hand, the number of nonzero pixels and the sum of pixel values of color space conversion error… More >

  • Open Access

    REVIEW

    An Overview of Double JPEG Compression Detection and Anti-detection

    Kun Wan*

    Journal of Information Hiding and Privacy Protection, Vol.4, No.2, pp. 89-101, 2022, DOI:10.32604/jihpp.2022.039764 - 17 April 2023

    Abstract JPEG (Joint Image Experts Group) is currently the most widely used image format on the Internet. Existing cases show that many tampering operations occur on JPEG images. The basic process of the operation is that the JPEG file is first decompressed, modified in the null field, and then the tampered image is compressed and saved in JPEG format, so that the tampered image may be compressed several times. Therefore, the double compression detection of JPEG images can be an important part for determining whether an image has been tampered with, and the study of double More >

  • Open Access

    ARTICLE

    FSpot: Fast and Efficient Video Encoding Workloads Over Amazon Spot Instances

    Anatoliy Zabrovskiy1,3, Prateek Agrawal1,2,*, Vladislav Kashansky1, Roland Kersche4, Christian Timmerer1,4, Radu Prodan1

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5677-5697, 2022, DOI:10.32604/cmc.2022.023630 - 14 January 2022

    Abstract HTTP Adaptive Streaming (HAS) of video content is becoming an undivided part of the Internet and accounts for most of today's network traffic. Video compression technology plays a vital role in efficiently utilizing network channels, but encoding videos into multiple representations with selected encoding parameters is a significant challenge. However, video encoding is a computationally intensive and time-consuming operation that requires high-performance resources provided by on-premise infrastructures or public clouds. In turn, the public clouds, such as Amazon elastic compute cloud (EC2), provide hundreds of computing instances optimized for different purposes and clients’ budgets. Thus,… More >

  • Open Access

    ARTICLE

    Changes in Germination and Seedling Traits of Sesame under Simulated Drought

    Mukhtar Ahmed1,*, Ahmed M. S. Kheir2,3, Muhammad Zeeshan Mehmood1, Shakeel Ahmad4, Mirza Hasanuzzaman5,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 713-726, 2022, DOI:10.32604/phyton.2022.018552 - 09 December 2021

    Abstract Drought is considered one of the leading abiotic constraints to agricultural crop production globally. Present study was conducted to assess the effects of different drought treatments (viz. Control, 10% PEG, and 20% PEG) on seed germination, germination indices, seedling traits, and drought tolerance indices of sesame. Our results showed that maximum reduction in the studied parameters was observed at higher PEG concentration (i.e., 20% PEG). As compared to control, the drought treatments viz. 10% and 20% PEG decreased the values for germination indices, such as germination percentage, coefficient of variation of germination time, germination index,… More >

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