Howtosignalprocessing
What is SSIM loss?
SSIM stands for Structural Similarity Index and is a perceptual metric to measure similarity of two images. Commonly used loss functions such as L2 (Euclidean Distance) correlate poorly with image quality because they assume pixel-wise independance. For instance blurred images cause large perceptual but small L2 loss.
Should SSIM be high or low?
Complex Wavelet SSIM
is a small positive number used for the purposes of function stability. Ideally, it should be zero. Like the SSIM, the CW-SSIM has a maximum value of 1. The maximum value of 1 indicates that the two signals are perfectly structurally similar while a value of 0 indicates no structural similarity.
What is SSIM Python?
The Structural Similarity Index (SSIM) is a perceptual metric that quantifies image quality degradation* caused by processing such as data compression or by losses in data transmission. It is a full reference metric that requires two images from the same image capture— a reference image and a processed image.
