What are the possible "No reference metrics" for an enhanced image(human visualized) as the output image while the input is a degraded image. Here there is no possibility of having a reference image
In image processing for SVH, the based of essentials elements are Probability Score (PS) and the Peak Signal to Noise Ratio (PSNR), these parameters are very important to evaluate performance of algorithm applied your images. I suggest to use Artificial Intelligence for example Deep learning can treated the degreed images to identified, the AI very powerful and robust.
I hope that be Claire for you and Helpful.
SSIM and PSNR
https://in.mathworks.com/help/images/ref/ssim.html
https://in.mathworks.com/help/images/ref/psnr.html
In image processing for SVH, the based of essentials elements are Probability Score (PS) and the Peak Signal to Noise Ratio (PSNR), these parameters are very important to evaluate performance of algorithm applied your images. I suggest to use Artificial Intelligence for example Deep learning can treated the degreed images to identified, the AI very powerful and robust.
I hope that be Claire for you and Helpful.
BRISQUE (Blind/Referenceless Image Spatial Quality Evaluator).
NIQE (Natural Image Quality Evaluator).
PIQE (Perception based Image Quality Evaluator)
codebook representation for no-reference image assessment (CORNIA)
feature enhanced version of NIQE named integrated local NIQE (IL-NIQE)
etc.
https://in.mathworks.com/help/images/image-quality-metrics.html
https://live.ece.utexas.edu/research/Quality/index_algorithms.htm
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