Discontinuity preserving method for noise removal of multi-carrier signals

Discontinuity preserving method for noise removal of multi-carrier signals

Sasan Mahmoodi Email: [email protected], Tel: +44 (0) 23 8059 3284, Fax: +44 (0) 23 8059 4498 Abstract: A nonlinear method based on anisotropic diffusion notion is proposed in this paper to remove noise from noisy signals modulated with multiple carrier signals by preserving carrier signals as well as discontinuities present in the original noiseless signals. Gaussian and correlated noise con...

Detail preserving impulsive noise removal

Most image processing applications require noise elimination. For example, in applications where derivative operators are applied, any noise in the image can result in serious errors. Impulsive noise appears as a sprinkle of dark and bright spots. Transmission errors, corrupted pixel elements in the camera sensors, or faulty memory locations can cause impulsive noise. Linear filters fail to sup...

Mutual Information for Multi-modal, Discontinuity-Preserving Image Registration

Multi-sensory data fusion and medical image analysis often pose the challenging task of aligning dense, non-rigid and multi-modal images. However, optical sequences may also present illumination variations and noise. The above problems can be addressed by an invariant similarity measure, such as mutual information. However, in a variational setting convex formulations are generally recommended ...

Feature-Preserving Medial Axis Noise Removal

Improved decision-based detail-preserving variational method for removal of random-valued impulse noise

The authors propose an improved decision-based detail-preserving variational method (DPVM) for removal of random-valued impulse noise. In the denoising scheme, adaptive centre weighted median filter (ACWMF) is first ameliorated by employing the variable window technique to improve its detection ability in highly corrupted images. Based on the improved ACWMF, a fast iteration strategy is used to...