Abstract
Image enhancement is used to improve the visual quality of an image. In this paper a different approach on image fusion has been described for image enhancement. The two main algorithms involved in this approach are Recursive Mean Separate Histogram Equalization and Linear Image Fusion. To get the fused image in this approach the input images are the original image and the Recursive Mean Separate Histogram Equalised image of the original image. The quality of an image has been judged by the parameters of Average Gradient and Standard Deviation and the result is compared with the image obtained after Linear Image Fusion.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.