A study on moving image noise removal using 3D and time-domain total variation regularization method

Tsubasa Munezawa; Tomio Goto; Satoshi Hirano; Son Lam Phung

doi:10.1117/12.2521353

22 March 2019 A study on moving image noise removal using 3D and time-domain total variation regularization method

Tsubasa Munezawa, Tomio Goto, Satoshi Hirano, Son Lam Phung

Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 1104913 (2019) https://doi.org/10.1117/12.2521353
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

Abstract

In recent years, in order to display hi-vision broadcast the next generation displays, super resolution techniques for improving image resolution are demanded. In addition, with the spread of digital cameras and smartphones, people have more opportunities to handle camera images. In particular, images of surveillance cameras are required to obtain highdefinition output by removing noise. In this paper, in order to avoid the adverse effect of image quality deterioration when emphasizing noise mixed image which is a problem of super resolution processing, we examine a noise removal method before super resolution processing. In our proposed method, Total Variation regularization, which is decomposed into structure and texture components, is extended in direction of time axis. As a result, moving images can be decomposed into structure moving images and texture moving images. In theory, it is thought that noise components with large value of Total Variation is shift to texture components. Furthermore, we aim for separation of texture components and noise, and aim for acquisition of high-definition moving images. We verify the performance of our proposed method by comparing it with the BM3D method, which is regarded as the highest performance for moving image noise removal processing.

Citation Download Citation

Tsubasa Munezawa, Tomio Goto, Satoshi Hirano, and Son Lam Phung "A study on moving image noise removal using 3D and time-domain total variation regularization method", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 1104913 (22 March 2019); https://doi.org/10.1117/12.2521353

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available