Most popular image enhancement algorithms are generally based on a series of specialized images collected by image photography devices. Hereinto, Pulse-Coupled Neural Network (PCNN), plays important roles in image enhancement aspect, with lower computational complexity and higher image enhancement accuracy. On the research, we propose an image enhancement method based on enhanced fire-controlled MSPCNN(EFC-MSPCNN) model, which gives the setting methods of designed adaptive parameters. Related experimental results demonstrate that our proposed method has good image enhancement performances.
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.