Abstract
Image denoising has great significance in pre-processing step of imaging applications. Although state-of-the-art denoising methods are numerically notable and approach theoretical limits, they suffer from visible artifacts. The image denoising methods are transformed in both spatial and transformed frequency domain. Each domain has its advantages and shortcomings, which can be complemented by each other. We propose the Progressive gradient Histogram Preservation Image Denoising (PGHP) that combine both domains. This is a simple physical process, which progressively reduces noise by texture enhanced image denoising method of enforcing the gradient histogram preservation. The results with approx 1.08% improved are pointed out from the simulation.
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.
