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Orthonormal finite ridgelet transform coding using an EBCOT-like algorithm

机译:使用类似EBCOT的算法进行正交有限脊波变换编码

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In this paper, an image coding algorithm based on a rate-distortion optimized orthonormal finite ridgelet transform (OFRIT) 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 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 transform(OFRIT) 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:本文提出了一种基于率失真优化正交正交有限脊波变换(OFRIT)分解和分别量化每个子带的块划分编码方案的图像编码算法。这样,我们的算法自然克服了在基于零树的方法中为基于小波的脊波子带定义父子关系的困难。提出的方法的主要优点是,脊波变换可以提供沿直线边缘具有奇异性的对象的最佳稀疏表示,并且正交有限脊波变换(OFRIT)可以分解在离散小波变换中未分解的图像的高频部分。实验结果表明,在PSNR和视觉质量方面,该算法在具有直线或曲线显着编码的新颖图像中均明显优于SPIHT和JPEG2000方案。

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