A Training-Based Method for Reducing Ringing Artifact in BDCT-Encoded Images
| dc.contributor.author | Wang, Guangyu | en_US |
| dc.contributor.author | Wong, Tien-Tsin | en_US |
| dc.contributor.author | Heng, Pheng-Ann | en_US |
| dc.contributor.editor | N. Correia and J. Jorge and T. Chambel and Z. Pan | en_US |
| dc.date.accessioned | 2014-01-26T16:16:43Z | |
| dc.date.available | 2014-01-26T16:16:43Z | |
| dc.date.issued | 2004 | en_US |
| dc.description.abstract | The quantization procedure of block-based discrete cosine transform (BDCT) compression (such as JPEG) introduces annoying visual artifact. In this paper, we propose a novel training-based method to reduce the ringing artifact in BDCT-encoded high-contrast images (images with large smooth color areas and strong edges/outlines). Our main focus is on the removal of ringing artifact that is seldom addressed by existing methods. In the proposed method, the contaminated image is modeled as a Markov random field (MRF). We learn the behavior of contamination by extracting massive number of artifact patterns from a training set. To organize the extracted artifact patterns, we use the tree-structured vector quantization (TSVQ). Instead of post-filtering the input contaminated image, we synthesize an artifact-reduced image. We show that substantial improvement (both statistical and visual) is achieved using the proposed method. Moreover, since our method is non-iterative, it can remove artifact within a very short period of time. | en_US |
| dc.description.seriesinformation | Eurographics Multimedia Workshop | en_US |
| dc.identifier.isbn | 3-905673-17-7 | en_US |
| dc.identifier.issn | 1812-7118 | en_US |
| dc.identifier.uri | https://doi.org/10.2312/EGMM/MM04/105-113 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | A Training-Based Method for Reducing Ringing Artifact in BDCT-Encoded Images | en_US |
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