Perceptual motivated coding strategy for quality consistency

Abstract

In this paper, we propose a novel quality control scheme which aims to keep quality consistency within a frame. Quality consistency is an important requirement in video coding. However, many existing schemes usually consider the quality consistency as the quantization parameter (QP) consistency. Moreover, the most frequently used metric to evaluate the quality consistency is PSNR, which has been well known that it is not good for subjective quality evaluation. These flaws of the existing methods are pointed out and proved to be unreasonable. For optimization, we take the effect of texture complexity on subjective evaluation into consideration to build a new D-Q model. We use the new model to adjust the quantization parameters of different regions to keep quality consistency. The simulation result shows that the new scheme gets better subjective quality and higher coding efficiency compared to traditional way. © 2011 Springer-Verlag Berlin Heidelberg.