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Fractional Regularization in Photoacoustic Imaging by saikishanmoray is a document available to read on EtoBox.
This paper presents a fractional regularization framework to enhance photoacoustic tomographic image reconstruction, addressing the challenges of noise and limited data. The proposed method improves upon standard regularization techniques by adjusting the weighting of singular values based on noise levels, resulting in superior image quality and quantitative accuracy. Experimental results demonstrate that the fractional approach outperforms traditional methods such as Tikhonov, L1-norm, and total variation
- Author
- saikishanmoray
- Language
- EN