Sciweavers

SCALESPACE
2005
Springer

Matrix-Valued Filters as Convex Programs

14 years 4 months ago
Matrix-Valued Filters as Convex Programs
Matrix-valued images gain increasing importance both as the output of new imaging techniques and as the result of image processing operations, bearing the need for robust and efficient filters for such images. Recently, a median filter for matrix-valued images has been introduced. We propose a new approach for the numerical computation of matrix-valued median filters, and closely related mid-range filters, based on sound convex programming techniques. Matrix-valued medians are uniquely computed as global optima with interior point solvers. The robust performance is validated with experimental results for matrixvalued data including texture analysis and denoising.
Martin Welk, Florian Becker, Christoph Schnör
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where SCALESPACE
Authors Martin Welk, Florian Becker, Christoph Schnörr, Joachim Weickert
Comments (0)