Abstract

The contourlet transform possess flexible multi-scale and multi-directional property, and nonsubsampled contourlet transform (NSCT) possess the shift-invariant, which conducive to image enhancement research. Therefore, an image nonlinear enhancement algorithm based on nonsubsampled contourlet transform is proposed. The new algorithm has well completed the nonsubsampled contourlet transform, and respectively realized the image enhancement of the lowfrequency sub-band and high-frequency sub-band. In order to enhance image details information, the edge scale of the high-frequency sub-band is enhanced. In order to improve the quality of image enhancement, the intensity, hue and saturation of the low-frequency sub-band are respectively enhanced. At last, the enhanced coefficients will be nonsubsampled contourlet inverse transformed to obtain the enhanced image. The experimental results show that this paper algorithm can improve the structural property and the edge information of the image and improve the quality of image enhancement.

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 call

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.