A Study of Objective Quality Assessment Metrics for Video Codec Design and Evaluation

M-LTW: A fast and efficient intra video codec

“…As it can be seen, all encoders based on DWT have a similar performance at high compression rates with a lower DMOSp (predicted differential mean opinion score value) (better quality) than H.264. Only at lower compression rates H.264 outperforms M-LTW_Int, although at these DMOSp values, differences on DMOSp lower than 3 are not visually perceptible as concluded in [14]. The rest of coders show very similar results under VIF quality metric, so they can be considered equivalent in terms of R/D performance.…”

“…We have also compared all proposed encoders using the VIF distortion metric [18]. We have chosen this metric because it is one of the best 'full reference' metrics as concluded in [14]. In Figs.…”

Enhancing LTW image encoder with perceptual coding and GPU-optimized 2D-DWT transform

“…There are several studies about the convenience of using other image quality assessment metrics than PSNR that better fit to human perceptual quality assessment (i.e., subjective test results) [14,17,19,20]. One of the best behaving objective quality assessment metrics is visual information fidelity (VIF) [7], which has been proven [17,19] to have a better correlation with subjective perception than other metrics that are commonly used for encoder comparisons [14,20].…”

“…One of the best behaving objective quality assessment metrics is visual information fidelity (VIF) [7], which has been proven [17,19] to have a better correlation with subjective perception than other metrics that are commonly used for encoder comparisons [14,20]. The VIF metric uses statistic models of natural scenes in conjunction with distortion models in order to quantify the statistical information shared between the test and reference images.…”

“…The same behavior can be observed as well with the other test images. So it is better not to trust on how PNSR ranks quality and use instead a perceptually inspired quality assessment metric like VIF that, as stated in [17,19], has a better correlation with the human perception of image quality.…”