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.