There is an increasing community of researchers trying to draw attention to the importance of evaluation issues. Some approaches can be followed to evaluate the quality of softwar...
This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...
Divisive normalization has been recognized as a successful approach to model the perceptual sensitivity of biological vision. It also provides a useful image representation that i...
We propose an unsupervised method for evaluating image segmentation. Common methods are typically based on evaluating smoothness within segments and contrast between them, and the...
With VHDL models increasing their size, it becomes more important to assure the quality of these descriptions in order to improve simulation performances, to make project maintain...