Bi-directional prediction for the removal of salt-and-pepper noise from images and its improvements
Jianying Wang · Journal of Circuits and Systems · 2008
One of pivotal issues in image processing is how to eliminate noise as well as to maintain image detail and edge information.To solve the problem of salt-and-Pepper noise in the gray image, a new denoising algorithm is proposed based on bi-directional prediction algorithm.According to characteristics of salt-and-pepper noise, one pixel to be processed is estimated at first to be a signal pixel or a noise pixel.The Signal pixel is kept untouched to preserve the detail information of the image.To the noise pixel, bi-directional Prediction algorithm is employed depending on the surrounding pixels.An improved algorithm is put forward to overcome the disadvantages of the above method.To the noise pixel,according to the correlations of the neighboring pixels and their characteristics, the improved algorithm sets adaptively prediction coefficients, which can improve the above algorithm's performance.The experimental results demonstrate that the algorithm presented here is good both at preserving the details of the image and at denoising.