A chaotic iterative algorithm based on linearized Bregman iteration for image deblurring ?
In this paper, we propose a new chaotic iterative algorithm for image deblurring. The algorithm is based on generalized inverse iteration, and linearized Bregman iteration for the basis pursuit problem minu?Rn{?u?1:Au=f} min u ? R n { ? u ? 1 : Au = f } . Numerical experiments show that the chaotic algorithm for image restoration is effective and efficient.
chaotic iterative linearized bregman iteration image deblurring generalized inverse convergence analysis