Initialization: f = g, v = 1, σ1 = σ2 = ε1, σ1prev = σ2prev ≫ 1

Iteration: while (|σ1prev − σ1| > ε2 or |σ2prev − σ2| > ε2) repeat Update the edge map v using the gradient descent algorithm, as in Eq.(12). Update the restored image f using the gradient descent algorithm, as in Eq.(13), and constrain f with Eq.(14). Set σ1prev = σ1, and update σ1 by solving Eq.(15) using the bisection method. Set σ2prev = σ2, and update σ2 by solving Eq.(16) using the bisection method. Update the blur kernel hσ1,σ2 with the new σ1 and σ2 using Eqs.(21) and (22).

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