An Improved Trilateral Filter for Image Denoising using an Effective Impulse Detector
In this paper, we improve the trilateral filter for removing the mix of impulse noise and Gaussian noise by adopting a new local image statistic to identify noise pixels in image corrupted with impulse noise, new statistic is called the Rank-ordered Absolute Differences statistics based on Estremum Compression (EC-ROAD). The EC-ROAD can effectively characterize each image pixel as either an impulse or an unaffected pixel, then we incorporate it into the bilateral filter by adding a third component to the weighting function. A switching mechanism is adopted to smooth the impulse noise and Gaussian noise. To improve the performance of our method we investigate the question of selecting optimal parameters. Our method has demonstrated superior performance in suppressing impulse noise and mixed noise, and outperformed other competitive methods both in terms of quantitative measures of image restoration and qualitative judgments of image quality.
Trilateral filter EC-ROAD impulse noise mixed noise parameter selection
Guangyu Xu Jieqing Tan Jinqin Zhong
School of Computer and Information Hefei University of Technology, Hefei, 230009, China
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
90-94
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）