<span>A projected gradient algorithm (PGA) which is</span><br> <span>derived from the majorization-minimization (MM) framework</span><br> <span>has been proposed recently for Hessian-matrix Frobenius</span><br> <span>norm regularization image restoration model so that it</span><br> <span>currently provides state-of-the-art performance. Outside the</span><br> <span>MM framework and for the sake of further accelerating the</span><br> <span>convergence speed, this paper presents an effi