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首页> 外文期刊>International journal of electronics >Edge-preserving image compression using adaptive lifting wavelet transform
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Edge-preserving image compression using adaptive lifting wavelet transform

机译：自适应提升小波变换的边缘保持图像压缩

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摘要

In this paper, a novel 2-D adaptive lifting wavelet transform is presented. The proposed algorithm is designed to further reduce the high-frequency energy of wavelet transform, improve the image compression efficiency and preserve the edge or texture of original images more effectively. In this paper, a new optional direction set, covering the surrounding integer pixels and sub-pixels, is designed. Hence, our algorithm adapts far better to the image orientation features in local image blocks. To obtain the computationally efficient and coding performance, the complete processes of 2-D adaptive lifting wavelet transform is introduced and implemented. Compared with the traditional lifting-based wavelet transform, the adaptive directional lifting and the direction-adaptive discrete wavelet transform, the new structure reduces the high-frequency wavelet coefficients more effectively, and the texture structures of the reconstructed images are more refined and clear than that of the other methods. The peak signal-to-noise ratio and the subjective quality of the reconstructed images are significantly improved.
机译：本文提出了一种新颖的二维自适应提升小波变换。该算法旨在进一步降低小波变换的高频能量，提高图像压缩效率，并更有效地保留原始图像的边缘或纹理。在本文中，设计了一个新的可选方向集，该方向集覆盖了周围的整数像素和子像素。因此，我们的算法可以更好地适应局部图像块中的图像方向特征。为了获得计算效率和编码性能，介绍并实现了二维自适应提升小波变换的完整过程。与传统的基于提升的小波变换，自适应方向提升和方向自适应离散小波变换相比，新结构更有效地降低了高频小波系数，并且重建图像的纹理结构比其他方法。峰值信噪比和重建图像的主观质量得到了显着改善。

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