Hopfield neural network-based image restoration with adaptive mixed-norm regularization
许元男 Yuannan Xu, 刘丽萍 Liping Liu, 赵远 Yuan Zhao, 靳辰飞 Chenfei Jin, 孙秀冬 Xiudong Sun · Chinese Optics Letters · 2009
To overcome the shortcomings of traditional image restoration model and total variation image restoration model, we propose a novel Hopfield neural network-based image restoration algorithm with adaptive mixed-norm regularization.The new error function of image restoration combines the L2-norm and L1norm regularization types.A method of calculating the adaptive scale control parameter is introduced.Experimental results demonstrate that the proposed algorithm is better than other algorithms with single norm regularization in the improvement of signal-to-noise ratio (ISNR) and vision effect.