基于小波分解的空频自适应图像复原

H. Lee, J. Paik
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引用次数: 2

摘要

本文研究了小波域的空频自适应图像恢复的有效性。为了利用空间域和频域的自适应,对卷积算子和信号进行小波变换的子带分解,保持了较好的重构效果。文献中提出了一种基于维纳的小波分解图像复原技术。尽管小波分解维纳滤波器具有出色的恢复性能,但由于其需要原始功率谱,且自适应实现不容易,限制了其使用。基于这个原因,我们提出了自适应小波分解CLS滤波器,并取得了一些令人满意的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Space-frequency adaptive image restoration based on wavelet decomposition
In this paper, we study examine the validity of space-frequency adaptive image restoration in the wavelet domain. In order to utilize adaptivity in both space and frequency domain, both the convolution operator and the signal is subband-decomposed using the wavelet transform, which maintains perfect reconstruction. A wiener-based wavelet decomposed image restoration technique has been proposed in the literature. In spite of outstanding restoration performance, wavelet decomposed wiener filter is restricted in use since it requires the original power spectrum and adaptive implementation is not easy. By this reason, we propose adaptive wavelet-decomposed CLS filters with some promising experimental results.
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