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Universal trellis coded quantization

机译:通用网格编码量化

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摘要

A new form of trellis coded quantization based on uniform quantization thresholds and "on-the-fly" quantizer training is presented. The universal trellis coded quantization (UTCQ) technique requires neither stored codebooks nor a computationally intense codebook design algorithm. Its performance is comparable with that of fully optimized entropy-constrained trellis coded quantization (ECTCQ) for most encoding rates. The codebook and trellis geometry of UTCQ are symmetric with respect to the trellis superset. This allows sources with a symmetric probability density to be encoded with a single variable-rate code. Rate allocation and quantizer modeling procedures are given for UTCQ which allow access to continuous quantization rates. An image coding application based on adaptive wavelet coefficient subblock classification, arithmetic coding, and UTCQ is presented. The excellent performance of this coder demonstrates the efficacy of UTCQ. We also present a simple scheme to improve the perceptual performance of UTCQ for certain imagery at low bit rates. This scheme has the added advantage of being applied during image decoding, without the need to reencode the original image.
机译:提出了一种基于统一量化阈值和“实时”量化器训练的网格编码量化新形式。通用网格编码量化(UTCQ)技术既不需要存储的码本,也不需要计算密集的码本设计算法。对于大多数编码率,其性能可与完全优化的熵约束网格编码量化(ECTCQ)媲美。 UTCQ的密码本和网格几何结构相对于网格超集是对称的。这允许使用单个可变速率代码对具有对称概率密度的源进行编码。为UTCQ提供了速率分配和量化器建模程序,可以访问连续的量化率。提出了一种基于自适应小波系数子块分类,算术编码和UTCQ的图像编码应用。该编码器的出色性能证明了UTCQ的功效。我们还提出了一个简单的方案,以提高UTCQ在低比特率下对某些图像的感知性能。该方案具有在图像解码期间应用的附加优点,而无需重新编码原始图像。

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