the brisque model seems yield wrong result quite often

[braindevices]

the brisque model seems yield wrong result quite often. I have original png image, jpeg compressed with 90% quality, jpeg with 60% quality.
The computed score is:

• (23.201696395874023, 0.0, 0.0, 0.0) for png
• (19.102746963500977, 0.0, 0.0, 0.0) for high quality jpg
• (17.447845458984375, 0.0, 0.0, 0.0) for low quality jpg

If I get the paper correct, the higher the score the lower the quality.

png:

high quality jpeg:

low quality jpeg:

[braindevices]

is there any explanation on this behaviour? Is there any assumption about the image content does not meet resulting in this failure?

[braindevices]

I actually used the model and object from opencv contrib.

[krshrimali]

Hi, @braindevices - I'm sorry that I couldn't respond to this. Just to confirm, can you try using the OpenCV's quality module once? And share the scores you get? https://docs.opencv.org/4.x/d8/d99/classcv_1_1quality_1_1QualityBRISQUE.html