Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6951353 | Biomedical Signal Processing and Control | 2015 | 6 Pages |
Abstract
This paper presents a novel despeckling algorithm to enhance image quality of medical ultrasound images. The proposed approach exploits coefficients in the dual-tree complex wavelet transform (DTCWT) domain to develop a new quantum-inspired thresholding function. The inter-scale correlation among the coefficients of different subbands and the intra-scale variance between the coefficient and its neighborhood in the same subband are utilized to develop a new thresholding function, which is further incorporated into a Bayesian framework to perform adaptive image despeckling. Experiments are conducted using both artificially generated and real-world medical images to demonstrate that the proposed approach outperforms the conventional image despeckling approaches.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Xiaowei Fu, Yi Wang, Li Chen, Jing Tian,