Abstract
It is often difficult and essential to distinguish between focused and de-focused structures in an image. To properly handle such structures, an image fusion technique is developed for multifocus images using high level discrete wavelet components and guided filter. The source images are decomposed using wavelet transform and high level components are processed using gradient magnitude and guided filters to obtain fusion weights to refine the fusion process. Variety of images obtained from standard datasets are used in the simulations to test performance of proposed technique. The fused image obtained using proposed technique outperforms visually and quantitatively as compared to existing techniques.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
