嵌入式零树小波编码的细胞图像无损压缩研究

Study of cell images lossless compression based on the EZW algorithm

探讨了各种整数小波变换应用于骨髓细胞图像无损压缩时的能量特征分布和子带零系数比例分布等,来选取适合骨髓细胞图像的变换形式.实验结果表明,CDF(4,2)整数小波变换对骨髓细胞图像具有较优良的性能.在使用嵌入式零树小波编码算法进行变换系数的编码时,基于骨髓细胞图像的特点,提出了新的阈值选取方案.实验结果表明,新的选取方案能够有效地增加零树的数目,从而提高骨髓细胞图像的压缩效率.

Several integer wavelet transforms are compared on marrow cell image energy distribution and their percentage of zero coefficients in every subband for higher performance of marrow cell image lossless compression. CDF（4,2） are found to be particularly good. A new method for threshold quantization is applied to EZW coding. Experimental results show that this approach can increase the number of zerotrees and improve the performance of compression.