The radius of attraction for Newton’s method and TV-minimization image denoising

This paper presents an estimate of the radius of convergence for Newton’s method applied to a regularized TV-minimization problem often employed to denoise images. Strong Fréchet differentiability of this iteration is established and an estimate of the radius of attraction for this method is shown.