Enhanced and restored signals as a generalized solution for shock filter models. Part I—existence and uniqueness result of the Cauchy problem

Abstract Signal enhancement and restoration is one of the fields that make extensive use of PDE theory. More specifically, some authors have proposed successive improved shock filters based on non-linear hyperbolic equations. These models yield satisfactory results; however, a wider range of degrees of freedom when handling the model parameters (coefficients and components) would be of great interest because it would increase the model's efficiency and facilitate adaptation to specific situations. Naturally, the key challenge in proceeding thus is to ensure that the problem remains well-posed. In this paper, we propose a more general shock filter that introduces new parameters to control the shock speed. Interpreting the proposed model in a framework of generalized functions algebra, we prove existence and uniqueness solution results.

[1]  M. Oberguggenberger Hyperbolic systems with discontinuous coefficients: Generalized solutions and a transmission problem in acoustics , 1989 .

[2]  J. Koenderink The structure of images , 2004, Biological Cybernetics.

[3]  J. Colombeau,et al.  Generalized solutions to Cauchy problems , 1994 .

[4]  J. Colombeau Multiplication of distributions , 1983 .

[5]  P. Lions,et al.  Image selective smoothing and edge detection by nonlinear diffusion. II , 1992 .

[6]  B. Frieden Restoring with maximum likelihood and maximum entropy. , 1972, Journal of the Optical Society of America.

[7]  N. A. Trayanova,et al.  Extracellular potentials of single active muscle fibres: Effects of finite fibre length , 1986, Biological Cybernetics.

[8]  B. R. Hunt,et al.  Digital Image Restoration , 1977 .

[9]  L. Álvarez,et al.  Signal and image restoration using shock filters and anisotropic diffusion , 1994 .

[10]  Jitendra Malik,et al.  Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  Generalized and classical solutions of nonlinear parabolic equations , 1995 .

[12]  L. Remaki,et al.  Conservation laws with discontinuous coefficients , 2001 .

[13]  B. R. Hunt,et al.  The Application of Constrained Least Squares Estimation to Image Restoration by Digital Computer , 1973, IEEE Transactions on Computers.

[14]  L. Rudin,et al.  Feature-oriented image enhancement using shock filters , 1990 .

[15]  Michael Oberguggenberger,et al.  Generalized solutions to partial differential equations of evolution type , 1996 .