Dept. of Electr. and Comput. Eng., Illinois Inst. of Technol., Chicago, IL.
IEEE Trans Image Process. 1992;1(4):477-87. doi: 10.1109/83.199917.
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.
一种方法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值的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按大小排序的传输。编码和传输可以自适应于每个图像的特性,因此非常高效。这种方法的另一个优点是其具有很高的渐进有效性。由于编码和传输的是首先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于渐进式图像传输。通过基于算术编码的多次分布熵编码技术,进一步压缩图像数据。实验表明,该方法与之前报道的 DCT 和子带图像编解码器相比具有优势。