Abstract
Threshold estimation in various image noise suppression and edge sharpening algorithms may still contain traces of subjective determination, with groups of subjects preferring more or less than optimal amounts of noise reduction and respectively edge enhancement. We propose in this paper a novel image noise reduction and edge enhancement technique that includes a profiling step for optimal noise threshold selection and resulting spatial frequency response (SFR). Our filter is implemented in the wavelet domain due to flexibility of spatially examining frequencies of interest. The method allows for selectively steering the algorithm to filter the low light 'chrominance noise' of certain hues in color filter array (CFA) cameras more so than others, and for building of a camera noise 'pseudo profile'.
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.
