What are the key metrics for evaluating image quality?
An example of an AI chatbot conversation about image quality metrics.
What are the key metrics for evaluating image quality?
The key metrics for evaluating image quality include Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Mean Squared Error (MSE). Each of these metrics provides different insights into image fidelity.
Can you explain how SSIM works?
SSIM measures the similarity between two images by comparing luminance, contrast, and structure. It ranges from -1 to 1, where 1 indicates perfect similarity.
What is the significance of PSNR?
PSNR is used to measure the quality of reconstruction of lossy compression codecs. Higher PSNR values indicate better quality, with typical values ranging from 20 to 40 dB.
Are there any subjective metrics for image quality?
Yes, subjective metrics like Mean Opinion Score (MOS) involve human judgment to assess image quality, providing insights that objective metrics may miss.
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