Abstract
Discrete digital image can achieve exact histogram specification through the strict ordering algorithm in. However, some edge information will be weakened. In this paper, a nonlinear filter algorithm in wavelet domain is proposed, which can solve the problem significantly. Firstly, the proposed approach utilizes wavelet transform to decompose the image and extract the wavelet coefficients. Secondly, exact histogram specification is implemented to low frequency coefficients, and a nonlinear filter algorithm is applied to enhance high frequency wavelet coefficients of different directions. Finally, the image fulfilled with exact histogram specification and enhancement of edge information is obtained through the inverse wavelet transform. Experimental results show that this method is effective for exact histogram specification and enhancing edge information simultaneously.
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.
