基于L曲线调参的FOTV-ADMM超分辨率图像重建

基于图像高频细节的重构问题,建立了全变分(Total Variation,TV)约束重建模型,选取交替方向乘子法(Alternating Direction Method of Multipliers,ADMM)求解分析.TV-ADMM重建算法能够保持图像边缘信息,纹理细节的刻画却不够理想,图像平滑部分的重建出现阶梯效...

Super-resolution image reconstruction based on L-curve parameters adjustment FOTV-ADMM

To solve the problem of reconstructing high-frequency details of images,a model with total variation(TV) regularization is established and solved by alternating direction method of multipliers(ADMM) algorithm.TV-ADMM reconstruction algorithm can keep image edge information,but the texture details of image is not ideally reconstructed and ladder effect and over smooth effect appear.A fractional order regularization model algorithm FOTV-ADMM is proposed to solve this problem.The algorithm has a good effect on high-frequency details of image texture and can sharpen the edge at the same time.In order to reduce the influence of empirical adjustment parameters on image reconstruction and the time of adjustment parameters,the L-curve parameters adjustment method is introduced to find the optimal solution of the regularization parameters.Experiment results show that FOTV-ADMM can better retain the texture and smooth details of the image,and adaptive FOTV-ADMM regularization has a better effect on high-frequency details in terms of peak signal-to-noise ratio and structural similarity.