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提出一种基于全变分(TV)模型与结构相似度(SSIM)的图像质量评价方法。对待评价图像进行主动定量加噪，得到降质图像，利用自适应的TV去噪模型得到消噪图像，采用SSIM方法对待评价图像与消噪图像进行全参考评价，得到待评价图像的无参考评价指标。采用标准测试图像和LIVE库的降质图像进行实验，结果表明，该方法可在无参考图像的条件下对图像质量进行评估，评价结果与主观评价结果具有较高的一致性。
RATE-SSIM OPTIMIZATION FOR VIDEO CODING
SSIM index rate distortion optimization reduced-reference image quality assessment Lagrange multiplier rate-SSIM optimization
2013/7/24
The structural similarity (SSIM) index has been found to bea good indicator of perceived image quality. In this paper,we propose a rate-SSIM optimization scheme for mode selection in H.264/AVC video c...
SSIM-INSPIRED DIVISIVE NORMALIZATION FOR PERCEPTUAL VIDEO CODING
SSIM index rate distortion optimization residual divisive normalization H.264/AVC coding
2013/7/24
We propose a perceptual video coding framework based on anSSIM-inspired divisive normalization scheme as an attemptto transform the DCT domain frame prediction residuals toa perceptually uniform space...