LearnDiff: MRI image super-resolution using a diffusion model with learnable noise

S. Goswami

doi:10.1016/j.compmedimag.2025.102641

2025-09-01

PRE

S. Goswami

Akriti Gupta

Angshuman Paul

DOI：10.1016/j.compmedimag.2025.102641

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摘要

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• LearnDiff 引入了一种新颖的扩散框架，该框架使用广义正态分布来建模噪声，能够灵活且准确地表示超分辨率任务中多样化的数据特征。 • 针对广义正态噪声模型下的扩散过程，提出了新的数学公式，其范围超出了传统的高斯假设。 • 在PSNR、SSIM和感知质量方面实现了卓越性能，持续优于现有的基于扩散的超分辨率方法。

Keyword:

LearnDiff

diffusion framework

generalized normal distribution

super-resolution

perceptual quality

期刊

Computerized Medical Imaging and Graphics

IF:

4.9

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