PSNR Meaning and
Definition
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PSNR stands for Peak Signal-to-Noise Ratio. It is a commonly used metric in image and video processing to quantify the fidelity or quality of a reconstructed or compressed signal compared to its original, uncompressed version. PSNR provides a way to measure the amount of distortion or error introduced during compression or transmission.
The calculation of PSNR involves comparing the pixel values of the original signal with those of the compressed or reconstructed signal. The difference between the two signals is computed, and then the mean squared error (MSE) is obtained by taking the average of the squared differences. The PSNR is finally calculated by using the logarithm of the peak signal value (highest possible pixel value, usually 255 for an 8-bit image or video) divided by the square root of the MSE.
The resulting PSNR value is usually expressed in decibels (dB) and provides a quantitative measure of how much the compressed or reconstructed signal deviates from the original signal. Higher PSNR values indicate higher quality and lower distortion. PSNR is widely used in various applications, including image and video compression algorithms evaluation, quality assessment in video streaming, and transmission or storage system performance evaluation.
While PSNR is a popular measurement metric, it has some limitations. It does not fully capture perceptual differences or quality, as human perception is more sensitive to certain types of errors than others. Additionally, high PSNR values do not necessarily imply better visual quality, as there may still be noticeable artifacts or distortions that affect the overall visual experience.
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