For the purpose of measuring image quality, after applying algorithms, filtering methods, and noise removal, several criteria are used for this measurement. what is the best criteria for this purpose?
Is the PSNR a good measure for this measurement?
The most popular methods for quality of images measurement are:
1). Structural Content (SC) . 2). Mean Square Error (MSE) . 3). Peak Signal to Noise Ratio (PSNR in dB) . 4). Normalized Cross-Correlation (NCC) . 5). Average Difference (AD) . 6). Maximum Difference (MD) . 7). Normalized Absolute Error (NAE) .
The most popular methods for quality of images measurement are:
1). Structural Content (SC) . 2). Mean Square Error (MSE) . 3). Peak Signal to Noise Ratio (PSNR in dB) . 4). Normalized Cross-Correlation (NCC) . 5). Average Difference (AD) . 6). Maximum Difference (MD) . 7). Normalized Absolute Error (NAE) .
maybe you can try to measure using Structure Similarity Index Measure (SSIM) or Feature Similarity Index Measure (FSIM)
- Badges
- Science topic
- Similar topics
- Computer Science
- Images