Perhaps the most complex figure is Roberto.
Let us consider now the most complex test image, Baboon.
For the most complex structure images as, e.g., the test images ##5, 8, 13, and 14, the values of PSNR-HVS-M k (n) are larger than 40 dB even for noisy (not filtered) images and there is no need to process them to improve visual quality.
For all the test images, their visual quality has been improved; however, improvement is quite different, the largest improvement is observed for simple structure images as, e.g., the test images ##3, 15, 23; the smallest improvement takes place for the most complex structure test images as, e.g., the test images ##5, 13, and 14. .
The computer of the future, one that sips power, boots up instantly and ably handles the most complex speech and image recognition, is under construction in a handful of laboratories.
For more detailed analysis, we have further concentrated on two color images from the database TID2008 [41], namely the test image #3 (one of the simplest) and the test image #13 (the most complex one) (see Figure 1) since, according to our previous experience [17, 18], just these marginal cases determine basic requirements.
First, all IB images from one time course experiment were matched with the most complex IB and a fusion image was obtained using the union fuse option.
Since most image defogging methods require complex image filtering computation, they cannot work effectively under large size real time image and video scenarios.
