Adaptive bilateral filtering using saliency map for deblocking low bit rate videos

Himawan, Ivan, Zele, Andrew J., & Tjondronegoro, Dian (2014) Adaptive bilateral filtering using saliency map for deblocking low bit rate videos. In IEEE International Conference on Multimedia and Expo (ICME 2014), 14-18 July 2014, Chengdu, China.


This paper proposes a novel approach to video deblocking which performs perceptually adaptive bilateral filtering by considering color, intensity, and motion features in a holistic manner. The method is based on bilateral filter which is an effective smoothing filter that preserves edges. The bilateral filter parameters are adaptive and avoid over-blurring of texture regions and at the same time eliminate blocking artefacts in the smooth region and areas of slow motion content. This is achieved by using a saliency map to control the strength of the filter for each individual point in the image based on its perceptual importance. The experimental results demonstrate that the proposed algorithm is effective in deblocking highly compressed video sequences and to avoid over-blurring of edges and textures in salient regions of image.

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ID Code: 49748
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: bilateral filtering, deblocking, saliency, H.264, post-processing
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > OPTOMETRY AND OPHTHALMOLOGY (111300) > Vision Science (111303)
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Current > Research Centres > Smart Services CRC
Current > Schools > School of Optometry & Vision Science
Copyright Owner: Copyright 2014 IEEE
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Deposited On: 07 Apr 2014 05:47
Last Modified: 26 Sep 2014 20:00

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