关键词: 运动模糊图像, 图像盲复原, 稀疏表达, 梯度约束, 归一化范数

Abstract: For forestry robots, it is easily to be affected by slightly irregular movement such as sliding, collision of ground obstacles and etc., which will lead to motion blurred images acquired by robot camera, and will greatly influence the results of subsequent information extraction. In order to solve this problem, the forestry blurred image restoration method based on synthetic regularization is proposed. Firstly, a cost function containing [L1/L2] norm regularization is set up to solve motion blur kernel. Then, another cost function consisting of image gradient prior regularization and sparse regularization are built to acquire the target clear image. The introduction of [L1/L2] norm regularization and image gradient prior regularization can make up blocking problems caused by sparse representation regularization, thus satisfactory results are obtained. Finally, the experimentd results of the synthetic and the natural real motion blurred images verify the effectiveness of the proposed method.