Image Fusion Technique for Impulse Noise Removal in Digital Images using Empirical Mode Decomposition

The paper is organized as follows: Section II introduces our signal model and some basic equations concerning the computation of 4th-order cumulants; in Section III we express

The present paper proposes a novel approach for noise removal cum edge detection for both gray scale and binary images using morphological operations.. Two images consisting of

For this purpose, this paper is organized as follows: in Section 2, the elicitation process proposed in Campello de Souza (2002) is reviewed; in Section 3, the sensitivity analysis

In this system, registration of visible and thermal images is performed using Fourier based method and fusion is performed using Empirical Mode Decomposition (EMD).. The

The paper has been organized as follows. In section 2 and section 3, we present the theory of Lyapunov exponents for the case of diffeomorphisms of Riemannian manifold and for the

In this study, an optimal detector noise filtering algorithm and its efficient hardware architecture is proposed which detects and removes the impulse noise from

This paper analyses the impact of using different image processing techniques to minimise the impact of noise in the images used: histogram equalisation, contrast normalisation

This paper is organised as follows: in section II the seven-equation model is written and closure relations are given; the numerical method used is mentioned in section III; the