Double total variation (DTV) regularization and Improved adaptive moment estimation (IADAM) optimization method for fast MR image reconstruction

How to improve the high resolution and remove the noise of composite infrared thermal wave detection image have become important research topics in machine vision. Therefore, this paper proposes a composite image enhancement algorithm based on edge adaptive total variation of direction. Using the improved adaptive directional total variation model to construct the guidance image of the guidance filter can provide better structural information for the guidance filter and conduct the guidance filter. This process is iterated to eliminate noise and ladder effect. Experimental results show that this algorithm is superior to other advanced methods in objective evaluation index and subjective vision. The algorithm proposed in this paper can not only effectively eliminate noise and ladder effect, but also highlight image details and structure information, which proves the effectiveness of this algorithm.

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Research on Denoising Algorithm of Composite Thermal Wave Detection Image Based on Improved Total Variation

Shen

Huang

2023

NANO

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Double total variation (DTV) regularization and Improved adaptive moment estimation (IADAM) optimization method for fast MR image reconstruction

Cited by 1 publication

References 24 publications

Research on Denoising Algorithm of Composite Thermal Wave Detection Image Based on Improved Total Variation

Research on Denoising Algorithm of Composite Thermal Wave Detection Image Based on Improved Total Variation

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