Invention Grant
- Patent Title: Dynamic image denoising using a sparse representation
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Application No.: US14953221Application Date: 2015-11-27
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Publication No.: US10755395B2Publication Date: 2020-08-25
- Inventor: Zhou Yu , Qiulin Tang , Satoru Nakanishi , Wenli Wang
- Applicant: CANON MEDICAL SYSTEMS CORPORATION
- Applicant Address: JP Otawara-shi
- Assignee: CANON MEDICAL SYSTEMS CORPORATION
- Current Assignee: CANON MEDICAL SYSTEMS CORPORATION
- Current Assignee Address: JP Otawara-shi
- Agency: Oblon, McClelland, Maier & Neustadt, L.L.P.
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T5/50 ; G06K9/32 ; G06K9/40 ; G06K9/62 ; G06T5/00 ; G06T5/10 ; G06K9/46

Abstract:
An apparatus and method of denoising a dynamic image is provided. The dynamic image can represent a time-series of snapshot images. The dynamic image is transformed, using a sparsifying transformation, into an aggregate image and a series of transform-domain images. The transform-domain images represent kinetic information of the dynamic images (i.e., differences between the snapshots), and the aggregate image represents static information (i.e., features and structure common among the snapshots). The transform-domain images, which can be approximated using a sparse approximation method, are denoised. The denoised transform-domain images are recombined with the aggregate image using an inverse sparsifying transformation to generate a denoised dynamic image. The transform-domain images can be denoised using at least one of a principal component analysis method and a K-SVD method.
Public/Granted literature
- US20170154413A1 DYNAMIC IMAGE DENOISING USING A SPARSE REPRESENTATION Public/Granted day:2017-06-01
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