| An adaptive preprocessing algorithm for low bitrate video coding |
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| 作者姓名： | LI Mao-quan XU Zheng-quan |
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| 作者单位： | LI Mao-quan1，2，XU Zheng-quan2 (1School of Electronic Information，Wuhan University，Wuhan 430079，China) (2Multimedia Communication Engineering Center，State Key Laboratory of Information Engineering in Surveying，Mapping and Remote Sensing，Wuhan University，Wuhan 430079，China) |
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| 基金项目： | Project (No. 2006CB303104) supported by the National Basic Re-search Program (973) of China |
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| 摘 要： | INTRODUCTION Currently, main video coding algorithms, such as H.26x and MPEG families are all based on block discrete cosine transform (BDCT). At low bit rate, all these BDCT-based algorithms suffer from visible blocking artifacts, which are easily noticeable as the discontinuities between neighboring blocks, particu- larly in flat and low activity homogeneous areas of the image because high frequency DCT coefficients are inclined to be quantizd to zeros due to the high quan- tizatio…
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| 关 键 词： | 封闭伪像 量子参量 视频预处理 双向滤波 |
| 收稿时间： | 2006-03-15 |
| 修稿时间： | 2006-07-10 |
An adaptive preprocessing algorithm for low bitrate video coding |
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| LI Mao-quan XU Zheng-quan.An adaptive preprocessing algorithm for low bitrate video coding[J].Journal of Zhejiang University Science,2006,7(12):2057-2062. |
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| Authors: | Mao-quan Li Zheng-quan Xu |
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| Institution: | (1) School of Electronic Information, Wuhan University, Wuhan, 430079, China;(2) Multimedia Communication Engineering Center, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China |
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| Abstract: | At low bitrate, all block discrete cosine transform (BDCT) based video coding algorithms suffer from visible blocking and ringing artifacts in the reconstructed images because the quantization is too coarse and high frequency DCT coefficients are inclined to be quantized to zeros. Preprocessing algorithms can enhance coding efficiency and thus reduce the likelihood of blocking artifacts and ringing artifacts generated in the video coding process by applying a low-pass filter before video encoding to remove some relatively insignificant high frequent components. In this paper, we introduce a new adaptive preprocessing algo- rithm, which employs an improved bilateral filter to provide adaptive edge-preserving low-pass filtering which is adjusted ac- cording to the quantization parameters. Whether at low or high bit rate, the preprocessing can provide proper filtering to make the video encoder more efficient and have better reconstructed image quality. Experimental results demonstrate that our proposed preprocessing algorithm can significantly improve both subjective and objective quality. |
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| Keywords: | Blocking artifact Quantization parameter Video preprocessing Bilateral filtering |
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