Abstract: For the salt-pepper noise which deduced in the gaining, processing, transmission of the visual text images, a new algorithm for removal of salt-pepper noises is proposed, which based on the characters stroke characteristic. This algorithm could estimate whether a pixel and it’s neighboring pixels are salt-pepper noises or not, and differentiate effectively characters from salt-pepper noise. The experimental results show clearly that this algorithm could restrain salt-pepper noises well and truly, at the same time, comparing with those traditional denoise algorithms, it avoid the influence for characters stroke, and decrease the disturbance for subsequent recognition.

摘要： 针对视觉文本图像，在获取、处理、传输中产生的椒盐噪声，提出一种基于文字笔画特性消除椒盐噪声的新算法。该算法智能判断被处理像素及其邻域内的像素点是否为噪声, 从而有效地把文字目标和椒盐噪声加以区分。试验结果显示，相比传统的去噪和平滑算法，该方法能准确地抑制噪声，同时避免了对文字笔画的影响,减少了对后继识别的干扰。