Blind Ultrasound Images Deblurring Based on Quadratic Sparse Bright Channel Prior
Qian Ma, Chengquan Huang, Zehong Zheng, Lihua Zhou, Wenlong Hang · 2021
For an ultrasound blurry image with more dark pixels and the blurry ultrasound image is not sparse enough after the bright channel prior deblurring. In order to make more effective use of the image information and enhance the sparsity of the ultrasound images obtained after deblurring, a method of blind ultrasound image deblurring based on quadratic sparse bright channel prior. Firstly, a quadratic sparse bright channel is proposed based on the bright channel. Secondly, the prior information of the image is obtained by using the quadratic sparse bright channel. Then, the clear image and blur kernel are estimated by half-quadratic splitting. Finally, the deblurring experiments are carried out on the ultrasound image set, and compared with other deblurring algorithms. Experimental results show that this algorithm has higher feasibility and superiority.