Adaptive image coding with perceptual distortion control
Adaptive image coding with perceptual distortion control
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DOI：
10.1109/83.988955
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发表时间：
2002-03
期刊：
影响因子：
--
通讯作者：
I. Hontsch;Lina Karam
中科院分区：
文献类型：
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作者：
I. Hontsch;Lina Karam
本文提出了一种基于离散余弦变换（DCT）的局部自适应感知图像编码器，该编码器根据图像成分的感知相关性对其进行区分，以在质量和比特率方面提高性能。新的编码器使用一种基于易于处理的感知失真度量的局部自适应感知量化方案。我们的策略是通过以局部自适应的方式推导视觉掩蔽阈值来利用人类视觉掩蔽特性。推导出的掩蔽阈值通过调整量化器重建级别来控制量化阶段，以满足期望的目标感知失真。所提出的编码方案具有灵活性，因为它除了基于块的变换方法外，还可以很容易地扩展到与任何基于子带的分解一起使用。与现有的感知编码方法相比，所提出的感知编码方法在比特率和失真控制方面表现出更优的性能。给出了编码结果以说明所提出的编码方案的性能。
This paper presents a discrete cosine transform (DCT)-based locally adaptive perceptual image coder, which discriminates between image components based on their perceptual relevance for achieving increased performance in terms of quality and bit rate. The new coder uses a locally adaptive perceptual quantization scheme based on a tractable perceptual distortion metric. Our strategy is to exploit human visual masking properties by deriving visual masking thresholds in a locally adaptive fashion. The derived masking thresholds are used in controlling the quantization stage by adapting the quantizer reconstruction levels in order to meet the desired target perceptual distortion. The proposed coding scheme is flexible in that it can be easily extended to work with any subband-based decomposition in addition to block-based transform methods. Compared to existing perceptual coding methods, the proposed perceptual coding method exhibits superior performance in terms of bit rate and distortion control. Coding results are presented to illustrate the performance of the presented coding scheme.