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CLIP-RL: Closed-Loop Video Inpainting with Detection-Guided Reinforcement Learning. [PDF]
Wang M, Ren J, Wang B, Tang X.
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Visual-PSNR measure of image quality
Journal of Visual Communication and Image Representation, 2014Abstract Objective assessment of image quality is important in numerous image and video processing applications. Many objective measures of image quality have been developed for this purpose, of which peak signal-to-noise ratio PSNR is one of the simplest and commonly used. However, it sometimes does not match well with objective mean opinion scores (
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No-Reference PSNR Estimation for HEVC Encoded Video
IEEE Transactions on Broadcasting, 2013Video quality estimation is considered a means of monitoring quality of service in broadcasting or IPTV services. In this paper, a no-reference peak signal-to-noise ratio (PSNR) estimation method is first presented for a quadtree-based motion estimation or compensation and transform coding scheme such as HEVC test model (HM), which is expected to be ...
Bumshik Lee, Munchurl Kim
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Image Quality Metrics: PSNR vs. SSIM
2010 20th International Conference on Pattern Recognition, 2010In this paper, we analyse two well-known objective image quality metrics, the peak-signal-to-noise ratio (PSNR) as well as the structural similarity index measure (SSIM), and we derive a simple mathematical relationship between them which works for various kinds of image degradations such as Gaussian blur, additive Gaussian white noise, jpeg and ...
Alain Hore, Djemel Ziou
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No reference PSNR estimation for compressed pictures
Proceedings. International Conference on Image Processing, 2003Many user-end applications require an estimate of the quality of coded video or images without having access to the original, i.e. a no-reference quality metric. Furthermore, in many such applications, the compressed video bitstream is also not available.
Deepak S. Turaga +2 more
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PSNR Estimate for JPEG Compression
2018JPEG is wildly used for image compression, which inevitably introduces some distortions, such as blocking artifacts and blurring. Peak Signal to Noise Ratio (PSNR) is the most widely used objective criterion to evaluate image distortion, which is a full reference image quality assessment and requires original image as the reference.
Ci Wang, Ying Yang, Jianhua Shen
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