MATLAB Source Code for Calculating SNR (Signal-to-Noise Ratio) Between Two Images
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This is a MATLAB-based source code designed to calculate the Signal-to-Noise Ratio (SNR) between two images. The implementation utilizes fundamental image processing techniques where the original image is treated as the reference signal, while the difference between images represents noise. Key algorithmic steps include computing the mean squared value of the reference image for signal power estimation, and determining the variance of the difference image for noise power calculation. The code efficiently converts the power ratio to decibels using logarithmic transformation, providing a standardized metric for image quality assessment. This implementation enables precise SNR comparison across different images, facilitating identification of higher-quality images through quantitative analysis. Users can leverage this code to deepen their understanding of image processing fundamentals and enhance performance in practical image evaluation applications.
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