A new study on mammographic image denoising using multiresolution techniques

Min Dong; Ya-Nan Guo; Yi-De Ma; Yu-run Ma; Xiang-yu Lu; Ke-ju Wang

doi:10.1117/12.2228704

8 December 2015 A new study on mammographic image denoising using multiresolution techniques

Min Dong, Ya-Nan Guo, Yi-De Ma, Yu-run Ma, Xiang-yu Lu, Ke-ju Wang

Proceedings Volume 9875, Eighth International Conference on Machine Vision (ICMV 2015); 987518 (2015) https://doi.org/10.1117/12.2228704
Event: Eighth International Conference on Machine Vision, 2015, Barcelona, Spain

Abstract

Mammography is the most simple and effective technology for early detection of breast cancer. However, the lesion areas of breast are difficult to detect which due to mammograms are mixed with noise. This work focuses on discussing various multiresolution denoising techniques which include the classical methods based on wavelet and contourlet; moreover the emerging multiresolution methods are also researched. In this work, a new denoising method based on dual tree contourlet transform (DCT) is proposed, the DCT possess the advantage of approximate shift invariant, directionality and anisotropy. The proposed denoising method is implemented on the mammogram, the experimental results show that the emerging multiresolution method succeeded in maintaining the edges and texture details; and it can obtain better performance than the other methods both on visual effects and in terms of the Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and Structure Similarity (SSIM) values.

Citation Download Citation

Min Dong, Ya-Nan Guo, Yi-De Ma, Yu-run Ma, Xiang-yu Lu, and Ke-ju Wang "A new study on mammographic image denoising using multiresolution techniques", Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 987518 (8 December 2015); https://doi.org/10.1117/12.2228704

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KEYWORDS

Denoising

Mammography

Image denoising

Wavelets

Breast cancer

Discrete wavelet transforms

Computed tomography

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