自适应随机共振技术在图像复原中的应用

Application of self-adaptive stochastic resonance on image restoration

为了优化强噪声背景下图像复原的效果,将随机共振原理应用于图像复原。通过添加最佳噪声的方法来实现随机共振,从而达到比较满意的复原效果,并提出了一种自适应算法。实验结果表明,在信噪比很低时,该方法优于传统方法,为强背景噪声下的图像复原、目标识别和图像理解等应用提供了一种新的思路。

Aiming at achieving better result of image restoration under strong noise background, stochastic resonance principle was applied to image restoration. By means of adding optimal noise, stochastic resonance and the better result of image restoration were achieved. And a self-adaptive stochastic resonance algorithm was provided. Results indicate that, as to the restoration effect of gray-scale noisy image, especially low PSNR, the new method is better than typical methods. A kind of method for such engi- neering application as image restoration, target diction and visual understanding is provided.