Abstract
This paper describes a method of enhancing images based on a new model of human vision. The model is an adaptive, nonlinear system that enhances edges, nonlinearly compresses dynamic ranges, automatically adjusts itself to local variations in intensity, can (but need not) be carried out on a parallel processor and has only one adjustable parameter that requires no intricate tuning. It is particularly useful in images that have regions of low contrast, such as brightly lit areas and those covered by shadows. The text explains how to convert the original mathematical theory to one useful for digital image processing and illustrates the output of the system to a variety of images. The focus is on qualitative enhancement of images, but the system would also be useful in machine vision.
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.
