A perceptual quantization strategy for HEVC based on a convolutional neural network trained on natur
基于在自然图像上训练的卷积神经网络的HEVC的感知量化策略 局部失真可见性和局部质量的快速预测模型可以潜在地使现代的spatiotem-porally自适应编码方案对于实时应用是可行的。本文提出了一种基于快速卷积神经网络的HEVC量化策略。通过对从我们改进的对比度增益控制模型导出的数据训练的网络预测本地伪像可见性。对比度增益控制模型在我们最近的自然场景中局部失真可见性数据库中进行了训练[Alam
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