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An Improved Image Compression Algorithm Using Binary Space Partition Scheme and Geometric Wavelets

机译:基于二进制空间分割方案和几何小波的改进图像压缩算法

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Geometric wavelet is a recent development in the field of multivariate nonlinear piecewise polynomials approximation. The present study improves the geometric wavelet (GW) image coding method by using the slope intercept representation of the straight line in the binary space partition scheme. The performance of the proposed algorithm is compared with the wavelet transform-based compression methods such as the embedded zerotree wavelet (EZW), the set partitioning in hierarchical trees (SPIHT) and the embedded block coding with optimized truncation (EBCOT), and other recently developed “sparse geometric representation” based compression algorithms. The proposed image compression algorithm outperforms the EZW, the Bandelets and the GW algorithm. The presented algorithm reports a gain of 0.22 dB over the GW method at the compression ratio of 64 for the Cameraman test image.
机译:几何小波是多元非线性分段多项式逼近领域中的最新发展。本研究通过在二进制空间划分方案中使用直线的斜率截距表示法改进了几何小波(GW)图像编码方法。将该算法的性能与基于小波变换的压缩方法(例如嵌入式零树小波(EZW),分层树中的集合划分(SPIHT)和具有优化截断的嵌入式块编码(EBCOT)等)进行了比较。开发了基于“稀疏几何表示”的压缩算法。所提出的图像压缩算法优于EZW,Bandelet和GW算法。对于Cameraman测试图像,所提出的算法报告了在GW方法下以64的压缩比获得的0.22 dB的增益。

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