we develop an efficient BLIINDS-II algorithm using NSS approach in DCT domain for image and video quality assessment with no reference image. The approach relies on a simple Bayesian inference model to predict image and video quality score, after a
The development of general-purpose no-reference approaches to image quality assessment still lags recent advances in full-reference methods. Additionally, most no-reference or blind approaches are distortion-specific, meaning they assess only a spec
k = kurtosis(X) returns the sample kurtosis of X. For vectors, kurtosis(x) is the kurtosis of the elements in the vector x. For matrices kurtosis(X) returns the sample kurtosis for each column of X. For N-dimensional arrays, kurtosis operates along
NVIDIA CUDA Runtime API API Reference Manual The driver and runtime APIs are very similar and can for the most part be used interchangeably. However, there are some key differences worth noting between the two.
