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English(EN) Estimating SSIM from MSE for DCT-Based Compressed Images

新方法从压缩误差估计图像相似度

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了新的方法，用于从基于DCT压缩图像的均方误差（MSE）估计结构相似性指数（SSIM）。这些方法通过基于方差或标准差的加权重新分配全局MSE来近似局部MSE，与仅使用全局MSE相比，显著提高了准确性。在Kodak和Xiph Subset1数据集上的实验表明，这些方法在各种JPEG质量级别上提供了稳健的SSIM近似，并且旨在扩展到视频处理。 AI

影响 通过从压缩指标中实现更好的质量评估，提高了图像和视频处理效率。

排序理由 该集群包含一篇详细介绍图像质量评估新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.CV 阅读 →

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新方法从压缩误差估计图像相似度

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该集群包含一篇详细介绍图像质量评估新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Luc Trudeau, Maria G. Martini ·

    从均方误差估计基于DCT压缩图像的SSIM

    arXiv:2608.02549v1 Announce Type: cross Abstract: Efficient and perceptually meaningful quality assessment is a fundamental requirement for image and video processing, compression, and streaming systems. This article shows that, in the context of Discrete Cosine Transform ( DCT)-…

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