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首页> 外文会议>2010 IEEE International Conference on Multimedia and Expo >A novel quadratic type variational method for efficient salt-and-pepper noise removal
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A novel quadratic type variational method for efficient salt-and-pepper noise removal

机译：一种有效去除椒盐噪声的二次型变分方法

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摘要

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 corrupted 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 efficiently reconstructed from the remaining clean pixels by minimizing 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：椒盐脉冲噪声是图像和视频通信过程中经常遇到的一种噪声类型。到目前为止，最先进的方法可以合理地恢复被高达90％的椒盐噪声破坏的图像[1]。我们提出了这种噪声消除问题的一种新颖的二次型变分形式。该方法首先使用一种简单而又快速的方法来消除所有椒盐噪声像素以及可能的一些干净像素，然后通过最小化精心设计的功能，从剩余的干净像素中高效地重建干净图像。因为函数是二次型的，所以可以保证快速的无条件收敛。仿真结果表明，所提出的方法优于以前发表的结果，并且可以忍受高达95％的噪声水平。

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