SUPPRESSION OF SPECKLE NOISE IN MEDICAL IMAGES VIA SEGMENTATION-GROUPING OF 3D OBJECTS USING SPARSE CONTOURLET REPRESENTATION

V. F. Kravchenko; Кравченко В. Ф.; Yu. V. Guliaev; Гуляев Ю. В.; V. I. Ponomaryov; Пономарев В. И.; G. Aranda Bojorges; Аранда-Бохоргес Г.

doi:10.31857/S2686954322600562

SUPPRESSION OF SPECKLE NOISE IN MEDICAL IMAGES VIA SEGMENTATION-GROUPING OF 3D OBJECTS USING SPARSE CONTOURLET REPRESENTATION

作者: Kravchenko V.F.¹^,2, Guliaev Y.V.¹, Ponomaryov V.I.³, Bojorges G.A.³
隶属关系:
1. Kotelnikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences
2. Bauman Moscow State Technical University
3. Instituto Politecnico Nacional de Mexico
期: 卷 509, 编号 1 (2023)
页面: 94-100
栏目: COMPUTER SCIENCE
URL: https://rjeid.com/2686-9543/article/view/647926
DOI: https://doi.org/10.31857/S2686954322600562
EDN: https://elibrary.ru/CQFBDY
ID: 647926

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详细

Novel filtering method in medical images (MRI and US) that are contaminated by noise consisting of mixture speckle and additive noise is designed in this paper. Proposed method consists of several stages: segmentation of image areas, grouping of similar 2D structures in accordance mutual information (MI) measure, homomorphic transformation, 3D filtering approach based on sparse representation in contourlet (CLT) space with posterior filtering in accordance with MI weights similar 2D structures, and final inverse homomorphic transformation. During numerous experiments, the developed method has confirmed their superiority in term of visual image quality via human visual perception as well as in better criteria values, such as PSNR, SSIM, EPI and alfa for different test MRI and US mages corrupted by speckle noise.

关键词

filtering, speckle noise, additive noise, homomorphic transformation, Mutual Information, peak signal/noise ratio

参考

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