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Iterated denoising and fusion to improve the image quality of wavelet-based coding

机译:迭代去噪和融合以提高基于小波编码的图像质量

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An iterated denoising and fusion method is presented to improve the image quality of wavelet-based coding. Firstly, iterated image denoising is used to reduce ringing and staircase noise along curving edges and improve edge regularity. Then, we adopt wavelet fusion method to enhance image edges, protect non-edge regions and decrease blurring artifacts during the process of denoising. Experimental results have shown that the proposed scheme is capable of improving both the subjective and the objective performance of wavelet decoders, such as JPEG2000 and SPIHT.
机译:提出了一种迭代去噪和融合方法,以提高基于小波的编码的图像质量。首先,迭代图像去噪用于减少沿弯曲边缘的振铃和阶梯噪声并改善边缘规则性。然后,我们采用小波融合方法来增强图像边缘,保护非边缘区域并减少去噪过程中的模糊伪像。实验结果表明,该方案能够同时改善JPEG2000和SPIHT等小波解码器的主观和客观性能。

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