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Application of D-KSVD in compressed sensing based video coding
Optik Pub Date : 2020-11-04 , DOI: 10.1016/j.ijleo.2020.165917
Hao-quan Wang , Qian-nan Tang , Ya-hui Wang , Shi-lei Ren

Compressed sensing theory based distributed video coding is one of the active topics in video coding research filed. In the compressed perception theory, the KSVD dictionary is usually used to achieve signal sparsity. In this paper,Based on the K-SVD algorithm, this paper proposes to apply the discriminative K-SVD (d-ksvd) algorithm to distributed compressed sensing video coding. We evaluate our method using the video in YUV format. It is verified by experiments that our method not only achieve better result of reconstruction but also save lot of time in terms of computing time.



中文翻译:

D-KSVD在基于压缩感知的视频编码中的应用

基于压缩感知理论的分布式视频编码是视频编码研究领域的活跃话题之一。在压缩感知理论中,通常使用KSVD字典来实现信号稀疏性。本文基于K-SVD算法,提出将判别式K-SVD(d-ksvd)算法应用于分布式压缩感知视频编码。我们使用YUV格式的视频评估我们的方法。实验证明,该方法不仅取得了较好的重建效果,而且节省了计算时间。

更新日期:2020-11-21
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