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Orthonormal finite ridgelet packet based block-partitioning image coding algorithm with rate-distortion optimization

机译:基于原子正常的有限ridgelet分组的块分区图像编码算法,速率失真优化

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In this paper, we propose a orthonormal finite ridgelet packet transform. An image coding algorithm based on a rate-distortion optimized orthonormal finite ridgelet packet transform (OFRPT) decomposition and on a block-partitioning coding scheme which quantizes each subband separately is proposed. In this way, our algorithm naturally overcomes the difficulty in defining parent-child relationships for wavelet-based ridgelet packets subbands, which exists in the zerotree based methods. The main merit of the proposed method is that the ridgelet transform can provide optimally sparse representation of objects with singularities along straight edges and the orthonormal finite ridgelet packet (OFRPT) can decompose the high frequency parts of the images which are not decomposed in discrete wavelet transform. The experimental results show that the proposed algorithm significantly outperforms SPIHT and JPEG2000 schemes in novel image with straight lines significantly or curve lines significantly coding, in terms of both PSNR and visual quality.
机译:在本文中,我们提出了一种正式的有限ridgelet分组变换。提出了一种基于速率失真优化的正交有限ripgelet分组变换(OFRPT)分解的图像编码算法以及分别单独地量化每个子带的块分区编码方案。通过这种方式,我们的算法自然地克服了在基于Zerotree的方法中存在的基于小波的ridgelet分组子带的父子关系难以定义父子关系。所提出的方法的主要优点是沿着沿着直边和正常的有限ridgelet分组(OFRPT)的奇点变换可以提供最佳地稀疏表示,并且可以将不分解的图像的高频部分分解在离散小波变换中不分解。实验结果表明,在PSNR和视觉质量方面,该算法在新颖的图像中显着优异地优于新颖的图像中的SPIHT和JPEG2000方案,其直线显着或曲线。

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