We report a sparse coding-based two-stage image processing technique for noise reduction and contrast enhancement in photoacoustic microscopy (PAM). We have assessed the performance of this denoising technique using multi-parametric PAM images acquired at different optical fluence levels in vivo. Our results show that this technique can significantly improve the contrast-to-noise ratio (~7 times) and visibility of the microvasculature in low-fluence noisy images, enabling us to reduce the optical fluence by a factor of 5 while maintaining a similar image quality. Moreover, this technique improves the accuracy of quantitative measurements of blood oxygenation and flow in low-fluence PAM images.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.