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32Still Image Compression Algorithm Based on Directional Filter Banks

机译:基于方向滤波器组的32静态图像压缩算法

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Hybrid wavelet and directional filter banks (HWD) is an effective multi-scale geometrical analysis method. Compared to wavelet transform, it can better capture the directional information of images. But the ringing artifact, which is caused by the coefficient quantization in transform domain, is the biggest drawback of image compression algorithms in HWD domain. In this paper, by researching on the relationship between directional decomposition and ringing artifact, an improved decomposition approach of HWD(IHWD) is proposed to reduce the ringing artifact. In addition, the IHWD algorithm and directional weighting model is applied into the JPEG2000 coding framework, and a new still imagecompression algorithm IJPEG2000 is proposed. The experimental results show that IJPEG2000 has better performance than JPEG2000 whether on objective evaluation method or on subjective visual feeling.
机译:混合小波和方向性滤波器组(HWD)是一种有效的多尺度几何分析方法。与小波变换相比,它可以更好地捕获图像的方向信息。但是,由变换域中的系数量化引起的振铃伪影是HWD域中图像压缩算法的最大缺点。通过研究定向分解与振铃伪影之间的关系,提出了一种改进的HWD(IHWD)分解方法,以减少振铃伪影。另外,将IHWD算法和方向加权模型应用于JPEG2000编码框架,并提出了一种新的静态图像压缩算法IJPEG2000。实验结果表明,无论是在客观评价方法还是在主观视觉上,IJPEG2000的性能均优于JPEG2000。

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