Centralized Error Distribution-Preserving Adaptive Steganography for HEVC

Yang, Lin; Wang, Rangding; Xu, Dawen; Dong, Li; He, Songhan

doi:10.1109/tmm.2023.3321496

IEEE Trans. Multimedia

2024

DOI: 10.1109/tmm.2023.3321496

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Centralized Error Distribution-Preserving Adaptive Steganography for HEVC

Lin Yang,

Rangding Wang,

Dawen Xu

et al.

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2024

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Cited by 3 publications

References 37 publications

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Maximizing complex features to minimize the detectability of content-adaptive steganography

Setiadi,

Rustad,

Andono

et al. 2024

Multimed Tools Appl

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Maximizing complex features to minimize the detectability of content-adaptive steganography

Setiadi,

Rustad,

Andono

et al. 2024

Multimed Tools Appl

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Adaptive HEVC video steganograhpy based on PU partition modes

Wang,

Xu,

2024

Journal of Visual Communication and Image Representation

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Performance Exploration of Optical Wireless Video Communication Based on Adaptive Block Sampling Compressive Sensing

Li,

Yao,

Dong

et al. 2024

Photonics

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Optical wireless video transmission technology combines the advantages of high data rates, enhanced security, large bandwidth capacity, and strong anti-interference capabilities inherent in optical communication, establishing it as a pivotal technology in contemporary data transmission networks. However, video data comprises a large volume of image information, resulting in substantial data flow with significant redundant bits. To address this, we propose an adaptive block sampling compressive sensing algorithm that overcomes the limitations of sampling inflexibility in traditional compressive sensing, which often leads to either redundant or insufficient local sampling. This method significantly reduces the presence of redundant bits in video images. First, the sampling mechanism of the block-based compressive sensing algorithm was optimized. Subsequently, a wireless optical video transmission experimental system was developed using a Field-Programmable Gate Array chip. Finally, experiments were conducted to evaluate the transmission of video optical signals. The results demonstrate that the proposed algorithm improves the peak signal-to-noise ratio by over 3 dB compared to other algorithms, with an enhancement exceeding 1.5 dB even in field tests, thereby significantly optimizing video transmission quality. This research contributes essential technical insights for the enhancement of wireless optical video transmission performance.

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Centralized Error Distribution-Preserving Adaptive Steganography for HEVC

Cited by 3 publications

References 37 publications

Maximizing complex features to minimize the detectability of content-adaptive steganography

Maximizing complex features to minimize the detectability of content-adaptive steganography

Adaptive HEVC video steganograhpy based on PU partition modes

Performance Exploration of Optical Wireless Video Communication Based on Adaptive Block Sampling Compressive Sensing

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