Objective picture quality scale by neural network fed the distortion factors to the input layers
Kazunori Kotani, Makoto Miyahara · Systems and Computers in Japan · 1991
Abstract It is important to improve the picture quality of an image reconstructed by computer simulation. It is also important that the performance of coders be evaluated. To this end, an objective picture quality scale is essential for image processing. This paper analyzes human perceptual properties in detail, formulizes approximately the fundamental image disturbance factors and proposes an objective picture quality scale (PQS). As a test image, a coding error image was fed into a neural network and experiments were conducted with a method to evaluate the picture quality. Finally, the new objective picture quality scale obtained herein can estimate the mean opinion scores (MOS) of two kinds of previously untaught images whose characteristics differ greatly.