SNR=P(signal)/P(noise)

From this formula, you can see that the SNR value is unlimited. It is high = Signal is more than noise. That mean your result might be normal (just about the range of value, I don't know in your algorithm).

It depends what you are comparing. If for example you are comparing an original steganographic image with a trasmitted or a filtered one, then your results looks OK. As long as you compare images of the same sizes is fine. You may also look at our publications on quality evaluation and despeckle filtering (you can find then in researchgate). There we have used a number of other image qualitty evaluation metrics for comparing original and despeklced images.

Sorry, i need more detail .about your question

SNR and PSNR values are basically depends on the payload (capacity) if you know what I mean. The main goal of image Stego is to embed large payload sizes with low image distortions. Comparisons with high-quality papers can put your work in the correct place. Good luck.

study this and let me know any addition help.

Article Threshold-based Steganography: A Novel Technique for Improve...

SNR=P(signal)/P(noise)

From this formula, you can see that the SNR value is unlimited. It is high = Signal is more than noise. That mean your result might be normal (just about the range of value, I don't know in your algorithm).