Wavelet domain residual proximity search for image detail enhancement

Faisal Sahito; Zhiwen Pan; Junaid Ahmed; Fahad Sahito

doi:10.1117/12.2559390

31 January 2020 Wavelet domain residual proximity search for image detail enhancement

Faisal Sahito, Zhiwen Pan, Junaid Ahmed, Fahad Sahito

Proceedings Volume 11433, Twelfth International Conference on Machine Vision (ICMV 2019); 114331K (2020) https://doi.org/10.1117/12.2559390
Event: Twelfth International Conference on Machine Vision, 2019, Amsterdam, Netherlands

Abstract

In this paper, a wavelet domain based algorithm is proposed for the image detail enhancement. The proposed algorithm works on the principle of residual proximity measure between the image and it's residual. The detail features of an image are enhanced by using a pixel and patch-based fast search mechanism. The unique properties of the stationary wavelet transform such as redundancy and approximate scale invariance are utilized along with the fast patchbased search mechanism. The proposed model works well for natural images. By incorporating the wavelet analysis along with the residual structure similarity, we are able to mine the fine detail features required for the image enhancement. The proposed algorithm is compared with benchmark algorithms. The experimental analysis is carried out to show the efficacy of the proposed algorithm. The visual, as well as quantitative results show that proposed algorithm is on par with the other detail enhancement algorithms.

Citation Download Citation

Faisal Sahito, Zhiwen Pan, Junaid Ahmed, and Fahad Sahito "Wavelet domain residual proximity search for image detail enhancement", Proc. SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 114331K (31 January 2020); https://doi.org/10.1117/12.2559390

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available