基于图像分析和补全的感知视频编码中开放性问题的识别和讨论

D. Doshkov, H. Kaprykowsky, P. Ndjiki-Nya
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引用次数: 1

摘要

在过去的几年里,基于图像分析和补全(IAC)的感知视频编码(VC)得到了越来越多的关注。已经提出了许多相关的方法,遵循不同的策略:从完全兼容到混合块转换编码到替代编解码器设计。因此,在本文中,将确定IAC编码中最重要的问题,并强调它们与IAC VC设计的相关性。它将分析最有希望的途径在哪里,并证明为什么其他人的潜力可能受到限制。讨论将使用作者为基于块和基于区域的IAC编码开发的新方法,以及最先进的方法来证实。
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Identification and discussion of open issues in perceptual video coding based on image analysis and completion
Perceptual video coding (VC) based on image analysis and completion (IAC) has enjoyed increasing awareness during the past few years. Many related approaches have been proposed that follow diverging strategies: from full compatibility to hybrid block transform coding to alternative codec design. Hence, in this paper, the most significant issues in IAC coding will be identified and their relevance for the IAC VC design highlighted. It will be analyzed where the most promising pathways lie and justified why others may be limited in their potentialities. Discussions will be substantiated using new methods developed by the authors for block-based and region-based IAC coding additionally to the state-of-the-art approaches.
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Identification and discussion of open issues in perceptual video coding based on image analysis and completion Classification with invariant scattering representations Detection of repetitive patterns in near regular texture images Despeckling trilateral filter A novel multifocus image fusion scheme based on pixel significance using wavelet transform
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