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Prioritized DCT for compression and progressive transmission of images

机译:优先DCT用于图像的压缩和渐进传输

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An approach is based on the block discrete cosine transform (DCT). The novelty of this approach is that the transform coefficients of all image blocks are coded and transmitted in absolute magnitude order. The resulting ordered-by-magnitude transmission is accomplished without sacrificing coding efficiency by using partition priority coding. Coding and transmission are adaptive to the characteristics of each individual image. and therefore, very efficient. Another advantage of this approach is its high progression effectiveness. Since the largest transform coefficients that capture the most important characteristics of images are coded and transmitted first, this method is well suited for progressive image transmission. Further compression of the image-data is achieved by multiple distribution entropy coding, a technique based on arithmetic coding. Experiments show that the approach compares favorably with previously reported DCT and subband image codecs.
机译:一种方法是基于块离散余弦变换(DCT)。这种方法的新颖之处在于,所有图像块的变换系数都以绝对幅度顺序进行编码和传输。通过使用分区优先级编码,可以在不牺牲编码效率的情况下实现最终的按量级传输。编码和传输适应于每个单独图像的特征。因此非常有效。这种方法的另一个优点是其高度的有效性。由于首先捕获并捕获了捕获图像最重要特征的最大变换系数,因此该方法非常适合渐进式图像传输。图像数据的进一步压缩是通过基于算术编码的多分布熵编码实现的。实验表明,该方法与以前报道的DCT和子带图像编解码器相比具有优势。

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