MR Image Contrast Enhancement by Wavelet-based Contourlet Transform

International Journal Bioautomation

Yingbiao Jia¹  Zhongliang Luo² 

[1] ;School of Information Science and Engineering, Shaoguang University, Shaoguan 512005, China;

关键词: Image contrast enhancement;    Wavelet-based contourlet transform;    Magnetic resonance image;    Nonlinear;   

DOI  :  

来源: DOAJ

【 摘 要 】

The contrast of magnetic resonance (MR) image local regions is low, edges blurred and image contains noise. To improve image contrast of local regions and solve the problem of noise enlarging, an MR image contrast enhancement algorithm by wavelet-based contourlet transform (WBCT) was put forward in this paper. Firstly, MR images were decomposed into low-pass and a series of high-pass sub-band images by WBCT, then algorithm adjustment coefficients of sub-band images were used through an enhancement operator. Finally, the contrast enhanced image was obtained by inverse WBCT. Compared with several image enhancement algorithms, the experimental results demonstrated that the ability of the proposed method in highlighting MR image's subtle features and preserving edges while suppressing noise. The contrast enhanced image had better visual effect, which is beneficial to doctor for diagnosing diseases.

【 授权许可】

Unknown