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Error-free transform coding by maximum-error-limited quantization of transform coefficients

机译:通过变换系数的最大误差量化的无差错变换编码

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In this paper, we describe a new technique for encoding transform coefficients for error-free image compression with very little overhead in transmitting the error images. In traditional schemes for error-free transform coding, a fixed total number of bits is allocated for encoding the transform coefficients, and the difference image is encoded by a lossless encoding method. The total number of bits allocated to encode the transform coefficients is varied until the total average bit rate is minimized. In the present scheme, the quantization error for each transform coefficient is monitored, and additional bits are allocated to reduce this quantization error to less than a pre- specified maximum value. It is shown that the reconstructed image from transform coefficients quantized using this scheme will consist of only a negligible number of pixels in error by more than the pre-specified maximum value. This results in very little overhead for encoding the error image. The results of application of this method on a standard image and digitized mammograms are presented.
机译:在本文中,我们描述了一种用于编码无差错图像压缩的变换系数的新技术,在发送错误图像时具有很少的开销。在用于无差错变换编码的传统方案中,分配固定总比特数以对变换系数进行编码,并且差异图像由无损编码方法编码。各种分配以对变换系数进行分配的比特总数变化,直到总平均比特率最小化。在本方案中,监视每个变换系数的量化误差,并且分配附加比特以将该量化误差减小到小于预定的最大值。结果表明,来自使用该方案量化的变换系数的重建图像将仅由超过预先指定的最大值的误差的误差数量忽略不计的像素组成。这导致对误差图像进行编码的非常少的开销。提出了在标准图像和数字化乳房X线照片上应用该方法的应用结果。

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