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  • Open Access

    ARTICLE

    A High-Quality Adaptive Video Reconstruction Optimization Method Based on Compressed Sensing

    Yanjun Zhang1, Yongqiang He2, Jingbo Zhang1, Yaru Zhao3, Zhihua Cui1,*, Wensheng Zhang4

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 363-383, 2023, DOI:10.32604/cmes.2023.025832

    Abstract The video compression sensing method based on multi hypothesis has attracted extensive attention in the research of video codec with limited resources. However, the formation of high-quality prediction blocks in the multi hypothesis prediction stage is a challenging task. To resolve this problem, this paper constructs a novel compressed sensing-based high-quality adaptive video reconstruction optimization method. It mainly includes the optimization of prediction blocks (OPBS), the selection of search windows and the use of neighborhood information. Specifically, the OPBS consists of two parts: the selection of blocks and the optimization of prediction blocks. We combine the high-quality optimization reconstruction of… More >

  • Open Access

    ARTICLE

    User Centric Block-Level Attribute Based Encryption in Cloud Using Blockchains

    S. Godfrey Winster1, A. Siva Kumar2,*, R. Ramesh3

    Computer Systems Science and Engineering, Vol.42, No.2, pp. 605-618, 2022, DOI:10.32604/csse.2022.022467

    Abstract Cloud computing is a collection of distributed storage Network which can provide various services and store the data in the efficient manner. The advantages of cloud computing is its remote access where data can accessed in real time using Remote Method Innovation (RMI). The problem of data security in cloud environment is a major concern since the data can be accessed by any time by any user. Due to the lack of providing the efficient security the cloud computing they fail to achieve higher performance in providing the efficient service. To improve the performance in data security, the block chains… More >

  • Open Access

    ARTICLE

    Image Segmentation Based on Block Level and Hybrid Directional Local Extrema

    Ghanshyam Raghuwanshi1, Yogesh Gupta2, Deepak Sinwar1, Dilbag Singh3, Usman Tariq4, Muhammad Attique5, Kuntha Pin6, Yunyoung Nam7,*

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3939-3954, 2022, DOI:10.32604/cmc.2022.018423

    Abstract In the recent decade, the digitalization of various tasks has added great flexibility to human lifestyle and has changed daily routine activities of communities. Image segmentation is a key step in digitalization. Segmentation plays a key role in almost all areas of image processing, and various approaches have been proposed for image segmentation. In this paper, a novel approach is proposed for image segmentation using a nonuniform adaptive strategy. Region-based image segmentation along with a directional binary pattern generated a better segmented image. An adaptive mask of 8 × 8 was circulated over the pixels whose bit value was 1 in the… More >

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