A wavelet video coding algorithm with balanced significance probability tree based on energy weighting

Song, Chuanming; Fu, Bo; Wang, Xianghai; Fu, Ming-Zhe

doi:10.1007/s11042-018-7133-8

Cited by 1 publication

(1 citation statement)

References 42 publications

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“…In order to further eliminate the time redundancy between video frames, Nagrale et al [15] use a hybrid global and local motion compensation strategy to achieve efficient underwater video compression. Based on the wavelet coding tree proposed by Li and Wang [16], Song et al [17] adopt an improved wavelet transform algorithm with stronger signal representation ability while improving coding efficiency and decoding quality. Dong et al [18] propose a fast algorithm for VVC from two aspects of mode selection and prediction terminating to reduce coding complexity.…”

Section: Introductionmentioning

confidence: 99%

Video Error-Resilience Encoding and Decoding Based on Wyner-Ziv Framework for Underwater Transmission

Zhang

Feng

2022

Wireless Communications and Mobile Computing

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Limited by the characteristics of underwater acoustic channels, the video transmission applications targeting deep-sea detection and operation tasks are facing severe challenges such as network failure and high delay, resulting in loss of video details, color distortion, blurring, and even bit errors, which seriously affect decoding quality of the video transmission and reception. In order to solve the problems of deep-sea long-distance wireless communication, this paper proposes an improved Wyner-Ziv coding scheme (UnderWater-WZ) for video transmission through acoustic channels. The implementation process includes controlling error range by using MJPEG coding, combining motion compensation time interpolation with calibration information to generate high-quality side information. And intraframe quantization matrix is designed to weaken the change of video scene. The experimental results show that under the highest packet loss rate of 20%, this scheme can achieve 2.6~3.5 dB improvements in terms of video reconstruction compared to the previous methods, which is close to the error-free level.

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Section: Introductionmentioning

confidence: 99%