Impulse Noise Removal Using Adaptive Radial Basis Function Interpolation
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- 作者：T. Veerakumar ; Ravi Prasad K. Jagannath…
- 关键词：Adaptive radial basis interpolation filter ; Edge preservation ; Impulse noise ; Radial basis function ; Spline interpolation
- 刊名：Circuits, Systems, and Signal Processing
- 出版年：2017
- 出版时间：March 2017
- 年：2017
- 卷：36
- 期：3
- 页码：1192-1223
- 全文大小：
- 刊物类别：Engineering
- 刊物主题：Circuits and Systems; Electrical Engineering; Signal,Image and Speech Processing; Electronics and Microelectronics, Instrumentation;
- 出版者：Springer US
- ISSN：1531-5878
- 卷排序：36
文摘
A novel adaptive radial basis function interpolation-based impulse noise removal algorithm is introduced in this manuscript. This approach consists of two stages: noisy pixel detection and correction. In former step, the noise-affected pixels in an image are detected, and in the latter step, the noisy pixels are restored by adaptive radial basis function-based interpolation scheme. The radial basis function interpolation scheme is used to estimate the unknown noisy pixel value from the noise-free known neighboring pixel values. For both noisy pixel detection and correction, a center sliding window is considered at each pixel location. The proposed approach is experimented on some benchmark data sets, and its performance is evaluated using five performance evaluation measures: PSNR, MSSIM, IEF, correlation factor, and NSER on different test images by comparing it against sixteen different state-of-the-art techniques. It is found that the proposed approach gives better results than the sixteen different state-of-the-art techniques.