A machine-learning-based post filtering method utilizing block boundary information in HEVC

Yuya Yamaki; Yusuke Kameda; Ichiro Matsuda; Susumu Itoh

doi:10.1117/12.2521534

22 March 2019 A machine-learning-based post filtering method utilizing block boundary information in HEVC

Yuya Yamaki, Yusuke Kameda, Ichiro Matsuda, Susumu Itoh

Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 1104932 (2019) https://doi.org/10.1117/12.2521534
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

Abstract

We previously proposed a machine learning based post filtering method for reducing image artifacts caused by lossy compression. The method classifies reconstructed image samples into three categories using a support vector machine (SVM) to roughly discriminate magnitude of the reconstruction errors. Then, an optimum offset value is added to the samples belonging to each category in a similar way to the post filtering technique called sample adaptive offset (SAO) used in the H.265/HEVC standard. In this paper, two kinds of SVM classifiers are adaptively switched according to information on block boundaries of transform units (TUs) in H.265/HEVC intra-frame coding. Furthermore, samples used for a feature vector, which will be fed to the SVM classifier, are rotated at the block boundary to properly capture local characteristics of the reconstruction errors.

Citation Download Citation

Yuya Yamaki, Yusuke Kameda, Ichiro Matsuda, and Susumu Itoh "A machine-learning-based post filtering method utilizing block boundary information in HEVC", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 1104932 (22 March 2019); https://doi.org/10.1117/12.2521534

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
5 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image compression

Image filtering

Machine learning

Reconstruction algorithms

Quantization

Error analysis

Image processing

Show All Keywords

Keywords/Phrases

Search In:

Publication Years