Research on hybrid multiple hypothesis prediction reconstruction algorithm based on measured value reorganization
An Lu, Ling Min Yu, Qinghui Yang, Fan Yang, Yong Huang, Lihua Tan, Deyi Xiong · 2023
Focusing on the MH-BCS-SPL framework, aiming at the problem that the theoretical conditions of the multi-hypothesis prediction algorithm can not be satisfied with high probability in the case of low sampling rate, resulting in poor reconstruction quality, a hybrid multi-hypothesis prediction reconstruction algorithm based on measurement value reorganization is proposed. On the basis of this algorithm, in order to prevent the negative impact of inaccurate edge information on the reconstruction quality, a mixed multiple hypothesis prediction reconstruction algorithm based on resampling is proposed. By measuring the similarity between the resampling measured value and the original measured value, multiple initial reconstruction results are adaptively mixed to obtain the final reconstruction results. Experimental results show that the algorithm can effectively improve the reconstruction quality under low sampling rate.