CODEWITHSUNDEEP
image-processingsimilarityscikit-imagessim
Miranda
Miranda

Reputation: 605

The interpretation of scikit-image SSIM (structural similarity image metric) negative values

I'm using scikit-image SSIM to compare the similarity between two images. The thing is that I get negative values, which are not favorable for my purpose. I understand that the range of SSIM values are supposed to be between -1 to 1, but I need to get a positive value only, and I want this value to reduce as the similarity increases between the two images. I've been thinking of two ways to handle this issue. First, subtracting SSIM value from 1:

Similarity Measure=(1-SSIM)

Now, it gives zero in the case of perfect match (SSIM=1) and 1 when there is no similarity (SSIM=0). But, since SSIM also results into negative values between -1 and 0, I also get values larger than 1, which I don't know how to interpret. In particular, I don't know when SSIM returns negative values, what does it mean. Are the images with SSIM values between -1 and 0 less similar than images with SSIM of 0? Because, if this is not the case then my similarity measure will cause problem (it results into values more than 1 when SSIM is negative, which means less similarity compared to the case of SSIM=0). Another measure that I was thinking to use is structural dissimilarity (DSSIM), which is defined as follows:

DSSIM=(1-SSIM)/2

This will return 0 when the two images are exactly the same, which is what I'm looking for, but DSSIM=1 when SSIM=-1 which corresponds with no similarity at all, and returns 1/2, when SSIM=0. Again, this can only be useful when SSIM of negative values shows less similarity than SSIM=0, which as I mentioned is something that I don't know about and couldn't find anything that explains about the corresponds of each value of SSIM in terms of the level of similarity between the two images. I hope someone could help me with such interpretation or some way to get only values of 0 and 1 for SSIM.

Edit: As I mentioned in the comments SSIM can be negative, and it is caused by the covarience of the two images that can be negative. In the Skimage SSIM source code, Covarience of the two images is represented by vxy, and it can be negative in some cases. As for the interpretation of negative values of SSIM in terms of similarity, I'm not still sure, but this paper states that this happens when local image structure is inverted. Still, I saw this for images that do not look like having inverted structure of each other. But, I guess local is important here, meaning that two images might not look like as inverted version of each other but their structure is inverted locally. Is this a right interpretation?

Upvotes: 4

Views: 9483

Answers (1)

user9554897
user9554897

Reputation: 31

Yes, the similarity of two images with SSIM = 0 is better than SSIM = -1, so you can use:

1 - (1 + SSIM ) / 2

Upvotes: 3

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