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@ -690,10 +690,21 @@ CV_EXPORTS_W double norm(InputArray src1, InputArray src2, |
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*/ |
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*/ |
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CV_EXPORTS double norm( const SparseMat& src, int normType ); |
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CV_EXPORTS double norm( const SparseMat& src, int normType ); |
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/** @brief computes PSNR image/video quality metric
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/** @brief Computes the Peak Signal-to-Noise Ratio (PSNR) image quality metric.
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This function calculates the Peak Signal-to-Noise Ratio (PSNR) image quality metric in decibels (dB), between two input arrays src1 and src2. Arrays must have depth CV_8U. |
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The PSNR is calculated as follows: |
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\f[ |
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\texttt{PSNR} = 10 \cdot \log_{10}{\left( \frac{R^2}{MSE} \right) } |
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\f] |
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where R is the maximum integer value of depth CV_8U (255) and MSE is the mean squared error between the two arrays. |
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@param src1 first input array. |
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@param src2 second input array of the same size as src1. |
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see http://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio for details
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@todo document |
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*/ |
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*/ |
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CV_EXPORTS_W double PSNR(InputArray src1, InputArray src2); |
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CV_EXPORTS_W double PSNR(InputArray src1, InputArray src2); |
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