Adaptive Watermarking and Tree Structure Based Image Quality Estimation
Adaptive Watermarking and Tree Structure Based Image Quality Estimation
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DOI：
10.1109/tmm.2013.2291658
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发表时间：
2014-02
影响因子：
7.3
通讯作者：
Sha Wang;D. Zheng;Jiying Zhao;W. J. Tam;F. Speranza
中科院分区：
文献类型：
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作者：
Sha Wang;D. Zheng;Jiying Zhao;W. J. Tam;F. Speranza
图像质量评价是非常重要的。在涉及信号传输的应用中，减少或无参考质量度量通常比全参考度量更实用。在这项研究中，我们提出了一种新的半脆弱和自适应水印方案的基础上的质量估计方法。该方案利用嵌入的水印估计不同失真下的封面图像的退化程度。水印算法在小波变换域中实现。小波变换子带间的相关系数被归类为层次树集合分割（SPIHT）。这些SPHIT树被进一步分解成一组位平面。水印被嵌入到所选树的所选DWT系数的所选位平面中，而不会对封面图像造成显著的保真度损失。通过参考先验计算的“理想映射曲线”，使质量估计的准确性接近全参考度量的准确性。实验结果表明，在JPEG压缩、JPEG2000压缩、高斯低通滤波和高斯噪声失真等情况下，该方法能够以PSNR、wPSNR、JND和SSIM等指标对图像质量进行高精度的评价。计算结果表明，该方法具有较好的计算效率，可用于实际应用。
Image quality evaluation is very important. In applications involving signal transmission, the Reduced- or No-Reference quality metrics are generally more practical than the Full-Reference metrics. In this study, we propose a quality estimation method based on a novel semi-fragile and adaptive watermarking scheme. The proposed scheme uses the embedded watermark to estimate the degradation of cover image under different distortions. The watermarking process is implemented in DWT domain of the cover image. The correlated DWT coefficients across the DWT subbands are categorized into Set Partitioning in Hierarchical Trees (SPIHT). Those SPHIT trees are further decomposed into a set of bitplanes. The watermark is embedded into the selected bitplanes of the selected DWT coefficients of the selected tree without causing significant fidelity loss to the cover image. The accuracy of the quality estimation is made to approach that of Full-Reference metrics by referring to an "Ideal Mapping Curve" computed a priori. The experimental results show that the proposed scheme can estimate image quality in terms of PSNR, wPSNR, JND and SSIM with high accuracy under JPEG compression, JPEG2000 compression, Gaussian low-pass filtering and Gaussian noise distortion. The results also show that the proposed scheme has good computational efficiency for practical applications.