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Integrated Lossy, Near-lossless, and Lossless Compression of Medical Volumetric Data

机译:集成的有损,无损和无损医疗体积数据压缩

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We propose an integrated, wavelet based, two-stage coding scheme for lossy, near-lossless and lossless compression of medical volumetric data. The method presented determines the bit-rate while encoding for the lossy layer and without any iteration. It is in the spirit of "lossy plus residual coding" and consists of a wavelet-based lossy layer followed by an arithmetic coding of the quantized residual to guarantee a given pixel-wise maximum error bound. We focus on the selection of the optimum bit rate for the lossy coder to achieve the minimum total (lossy plus residual) bit rate in the near-lossless and the lossless cases. We propose a simple and practical method to estimate online the optimal bit rate and provide a theoretical justification for it. Experimental results show that the proposed scheme provides improved, embedded lossy, and lossless performance competitive with the best results published so far in the literature, with an added feature of near-lossless coding.
机译:我们提出了一种基于小波的集成两阶段编码方案,用于医疗体积数据的有损,近无损和无损压缩。所提出的方法确定有损层编码时的比特率,而无需任何迭代。它本着“有损加残差编码”的精神,由基于小波的有损层和量化残差的算术编码组成,以确保给定的像素级最大误差范围。我们专注于为有损编码器选择最佳比特率,以在接近无损和无损情况下实现最小的总(有损加残留)比特率。我们提出一种简单实用的方法来在线估计最佳比特率,并为其提供理论依据。实验结果表明,所提出的方案提供了改进的,嵌入式有损和无损性能,具有迄今为止在文献中发表的最佳结果,并具有近无损编码的特点。

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