Feasibility study of data-free spectroscopic photoacoustic image denoising

Spectroscopic photoacoustic (sPA) imaging identifies biological materials by revealing their unique optical absorption spectra, but it is prone to noise from various sources, making denoising challenging. Traditional methods either rely on data-driven approaches, which depend on extensive training, or analytical methods, which require domain-specific knowledge. To address these limitations, we propose Spectroscopic-Zero-Shot Hybrid, a tuning-free, data-free denoising method that preserves spectral information. By integrating Zero-Shot N2N and Spectral BM3D, our approach offers stable, predictable denoising performance. Simulations and ex vivo studies validate the method's effectiveness in preserving spectrum information during denoising.