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A NOVEL QUADRATIC TYPE VARIATIONAL METHOD FOR EFFICIENT SALT-AND-PEPPER NOISE REMOVAL

机译:一种用于高效盐和胡椒噪声的新型异型变分方法

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Salt-and-pepper impulse noise is one commonly encountered noise type during image and video communication. So far the state of the art methods can reasonably restore images cor-rupted by salt-and-pepper noise whose level is up to 90%[1]. We propose a novel quadratic type variational formulation of this noise removal problem. This approach first uses a simple yet fast method to eliminate all salt-and-pepper noise pixels as well as possibly some clean pixels, then the clean image is effi-ciently reconstructed from the remaining clean pixels by mini-mizing a carefully designed functional. Because the functional is quadratic type, fast unconditional convergence is guaranteed. Simulation results show that the proposed method outperforms previously published results and can tolerate noise level of as much as 95%.
机译:盐和胡椒脉冲噪声是图像和视频通信期间通常遇到的噪声类型。到目前为止,最先进的方法可以合理地通过盐和辣椒噪声恢复图像,其水平高达90%[1]。我们提出了一种新的二次型变分形式的这种噪声去除问题。该方法首先使用简单的且快速的方法来消除所有盐和胡椒噪声像素以及可能的一些清洁像素,然后通过迷你设计的功能,从剩余的清洁像素中效果重建清洁图像。因为功能是二次类型,所以保证了快速无条件的收敛。仿真结果表明,所提出的方法优于先前公布的结果,可容忍高达95%的噪声水平。

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