基于EBCOT的平衡多小波航空图像压缩编码

Balanced multiwavelet aviation image compression coding based on EBCOT

鉴于预滤波有可能造成多小波的正交性、对称性的"丢失"及基函数支撑的增加,提出了多小波"平衡"算法,使得多小波基有与单小波基相同的性质。充分利用平衡多小波分解系数的结构,采用EBCOT图像编码算法,对平衡多小波系数进行压缩处理。当压缩比为32时,峰值信号比为31.3427。实验结果表明:基于EBCOT的平衡多小波算法同时具有图像压缩所需要的正交性、对称性、短支撑和较大的消失矩等多个良好特性,是一种比较有效的航空图像压缩方法。

Since pre-filter is more likely to cause the orthogonality and symmetry ＂losses＂ of multi wavelet, and to cause the increase of the compact support of the base function, a multiwavelet ＂balanced＂ algorithm is proposed to make multiwavelets have the same properties with single wavelets. Taking full advantages of the structures of balanced multiwavelet decomposition coefficients, the Embedded Block Coding with Optimal Truncation（EBCOT） image coding algorithm is used to compress the coefficients of balanced multiwavelet. When the compressed ratio reaches 32, the PSNR is 31. 342 7. The experimental results show that the balanced multiwavelet algorithm based on EBCOT has many good characteristics, such as orthogonality, short support, high vanishing moments, etc. , which is a more effective method for aviation image compression.