NDLI: Adaptive deblocking filtering scheme for intra-coded slices in H.264/AVC

Content Provider	IEEE Xplore Digital Library
Author	Luong Pham Van De Cock, J. Van Wallendael, G. Byeungwoo Jeon Van de Walle, R.
Copyright Year	2013
Description	Author affiliation: ELIS - Multimedia Lab., Ghent Univ., Ledeberg, Belgium (Luong Pham Van; De Cock, J.; Van Wallendael, G.; Van de Walle, R.) \|\| Sch. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea (Byeungwoo Jeon)
Abstract	H.264/AVC applies an adaptive in-loop deblocking filter in order to remove blocking artifacts. The deblocking filter is adaptively controlled by using the boundary strength (BS) parameter. Although the filter achieves advantages in reducing blocking artifacts, there are two problems we should consider to improve the filtering performance. The first problem is that the filter applies just a strong and the strongest filter to filter intra coded blocks. The strong filter can remove blocking artifacts at smooth regions; however, it removes detail or sharpness of pictures at complex regions. The second problem is that H.264/AVC does not pay attention in removing corner outliers which appear when an edge of an object crosses a corner of a block. Therefore, corner outliers clearly appear and reduce the subjective quality of reconstructed pictures. In this paper, we propose an adaptive deblocking filter scheme which removes corner outliers, and which utilizes the intra prediction information of intra coded blocks to adaptively select the BS. Experimental results show that our proposed filter significantly enhances the subjective quality by removing blocking artifacts at smooth regions while maintaining details or sharpness at complex regions. In addition, the objective quality is improved, resulting in PSNR gains of up to 0.16 dB.
Starting Page	171
Ending Page	176
File Size	2533430
Page Count	6
File Format	PDF
ISBN	9781479901258
DOI	10.1109/MMSP.2013.6659283
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-30
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Video coding Image edge detection Encoding Correlation Image reconstruction Bit rate Quantization (signal)
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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