| New Blocking Artifacts Reduction Method Based on Wavelet Transform |
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| 引用本文： | SHI Min YI Qing-ming. New Blocking Artifacts Reduction Method Based on Wavelet Transform[J]. 半导体光子学与技术, 2007, 47(1): 43-47 |
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| 作者姓名： | SHI Min YI Qing-ming |
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| 作者单位： | Department of Electronic Engineering, Jinan University, Guangzhou 510632, CHN |
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| 基金项目： | 广东省重大科技专项基金，Startup Project of Jinan University，Soft Science Project of Guangdong Province |
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| 摘 要： | It is well known that a block discrete cosine transform compressed image exhibits visually annoying blocking artifacts at low-bit-rate. A new post-processing deblocking algorithm in wavelet domain is proposed. The algorithm exploits blocking-artifact features shown in wavelet domain. The energy of blocking artifacts is concentrated into some lines to form annoying visual effects after wavelet transform. The aim of reducing blocking artifacts is to capture excessive energy on the block boundary effectively and reduce it below the visual scope. Adaptive operators for different subbands are computed based on the wavelet coefficients. The operators are made adaptive to different images and characteristics of blocking artifacts. Experimental results show that the proposed method can significantly improve the visual quality and also increase the peak signal-noise-ratio（PSNR） in the output image.
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| 关 键 词： | 小波变换 模块化人工还原法 块离散余弦变换 图像压缩 |
| 文章编号： | 1007-0206（2007）01-0043-05 |
| 收稿时间： | 2006-08-23 |
| 修稿时间： | 2006-09-23 |
New Blocking Artifacts Reduction Method Based on Wavelet Transform |
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| SHI Min,YI Qing-ming. New Blocking Artifacts Reduction Method Based on Wavelet Transform[J]. Semiconductor Photonics and Technology, 2007, 47(1): 43-47 |
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| Authors: | SHI Min YI Qing-ming |
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| Abstract: | It is well known that a block discrete cosine transform compressed image exhibits visually annoying blocking artifacts at low-bit-rate. A new post-processing deblocking algorithm in wavelet domain is proposed. The algorithm exploits blocking-artifact features shown in wavelet domain. The energy of blocking artifacts is concentrated into some lines to form annoying visual effects after wavelet transform. The aim of reducing blocking artifacts is to capture excessive energy on the block boundary effectively and reduce it below the visual scope. Adaptive operators for different subbands are computed based on the wavelet coefficients. The operators are made adaptive to different images and characteristics of blocking artifacts. Experimental results show that the proposed method can significantly improve the visual quality and also increase the peak signal-noise-ratio(PSNR) in the output image. |
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| Keywords: | block discrete cosine transform(BDCT) blocking artifacts wavelet transform |
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