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JPEG 2000 Encoding Method for Reducing Tiling Artifacts

机译:减少平铺伪像的JPEG 2000编码方法

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This paper proposes an effective JPEG 2000 encoding method for reducing tiling artifacts, which cause one of the biggest problems in JPEG 2000 encoders. Symmetric pixel extension is generally thought to be the main factor in causing artifacts. However this paper shows that differences in quantization accuracy between tiles are a more significant reason for tiling artifacts at middle or low bit rates. This paper also proposes an algorithm that predicts whether tiling artifacts will occur at a tile boundary in the rate control process and that locally improves quantization accuracy by the original post quantization control. This paper further proposes a method for reducing processing time which is yet another serious problem in the JPEG 2000 encoder. The method works by predicting truncation points using the entropy of wavelet transform coefficients prior to the arithmetic coding. These encoding methods require no additional processing in the decoder. The experiments confirmed that tiling artifacts were greatly reduced and that the coding process was considerably accelerated.
机译:本文提出了一种有效的JPEG 2000编码方法,用于减少导致伪影的伪影,该伪影是JPEG 2000编码器中最大的问题之一。通常认为对称像素扩展是导致伪像的主要因素。但是,本文表明,图块之间量化精度的差异是在中或低位速率下平铺伪像的更重要原因。本文还提出了一种算法,该算法可预测在速率控制过程中在图块边界处是否会出现切片伪像,并通过原始的后量化控制来局部提高量化精度。本文还提出了一种减少处理时间的方法,这是JPEG 2000编码器中的另一个严重问题。该方法通过在算术编码之前使用小波变换系数的熵来预测截断点来工作。这些编码方法在解码器中不需要其他处理。实验证实,平铺伪像大大减少了,编码过程大大加快了。

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