Blind image separation using pyramid technique
Abstract Signal and image separation is an important processing step for accurate image reconstruction, which is increasingly applied to many medical imaging applications and communication systems. Most of the conventional separation approaches are based on frequency domain and time domain. These ap...
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Online Access: | http://link.springer.com/article/10.1186/s13640-018-0276-8 |
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doaj-47d94ddfb4f042c095518d148b24ea442020-11-25T01:40:49ZengSpringerOpenEURASIP Journal on Image and Video Processing1687-52812018-05-012018111610.1186/s13640-018-0276-8Blind image separation using pyramid techniqueM. Y. Abbass0HyungWon Kim1Department of Electronic Engineering, College of Electrical and Computer Engineering, Chungbuk National UniversityDepartment of Electronic Engineering, College of Electrical and Computer Engineering, Chungbuk National UniversityAbstract Signal and image separation is an important processing step for accurate image reconstruction, which is increasingly applied to many medical imaging applications and communication systems. Most of the conventional separation approaches are based on frequency domain and time domain. These approaches, however, are sensitive to noise and thus often produce undesirable results. In this paper, we propose a novel method of image separation. It incorporates the property of pyramid component extracted from the image and a finite ridgelet transform (FRT) to obtain a precise analysis of the images and thus correctly separate the images even in a highly noisy environment. We obtain the multiple components of the target images by employing a pyramid processing, which operates in the various domains and thus can decompose the image into multiple components. In addition, the pyramid decomposition in the proposed method can eliminate information redundancy in the target image and thus can substantially enhance the quality of image separation. We have conducted extensive simulations, which demonstrate that the proposed pyramid structure with FRT outperforms the conventional methods based on time domain and trigonometric transforms.http://link.springer.com/article/10.1186/s13640-018-0276-8Pyramid techniqueFinite ridgelet transform (FRT)ICABlind source separation (BSS)Pyramid technique |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
M. Y. Abbass HyungWon Kim |
spellingShingle |
M. Y. Abbass HyungWon Kim Blind image separation using pyramid technique EURASIP Journal on Image and Video Processing Pyramid technique Finite ridgelet transform (FRT) ICA Blind source separation (BSS) Pyramid technique |
author_facet |
M. Y. Abbass HyungWon Kim |
author_sort |
M. Y. Abbass |
title |
Blind image separation using pyramid technique |
title_short |
Blind image separation using pyramid technique |
title_full |
Blind image separation using pyramid technique |
title_fullStr |
Blind image separation using pyramid technique |
title_full_unstemmed |
Blind image separation using pyramid technique |
title_sort |
blind image separation using pyramid technique |
publisher |
SpringerOpen |
series |
EURASIP Journal on Image and Video Processing |
issn |
1687-5281 |
publishDate |
2018-05-01 |
description |
Abstract Signal and image separation is an important processing step for accurate image reconstruction, which is increasingly applied to many medical imaging applications and communication systems. Most of the conventional separation approaches are based on frequency domain and time domain. These approaches, however, are sensitive to noise and thus often produce undesirable results. In this paper, we propose a novel method of image separation. It incorporates the property of pyramid component extracted from the image and a finite ridgelet transform (FRT) to obtain a precise analysis of the images and thus correctly separate the images even in a highly noisy environment. We obtain the multiple components of the target images by employing a pyramid processing, which operates in the various domains and thus can decompose the image into multiple components. In addition, the pyramid decomposition in the proposed method can eliminate information redundancy in the target image and thus can substantially enhance the quality of image separation. We have conducted extensive simulations, which demonstrate that the proposed pyramid structure with FRT outperforms the conventional methods based on time domain and trigonometric transforms. |
topic |
Pyramid technique Finite ridgelet transform (FRT) ICA Blind source separation (BSS) Pyramid technique |
url |
http://link.springer.com/article/10.1186/s13640-018-0276-8 |
work_keys_str_mv |
AT myabbass blindimageseparationusingpyramidtechnique AT hyungwonkim blindimageseparationusingpyramidtechnique |
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