TY - GEN
T1 - Efficient full-reference assessment of image and video quality
AU - Ndjiki-Nya, Patrick
AU - Barrado, Mikel
AU - Wiegand, Thomas
PY - 2007
Y1 - 2007
N2 - Automatic quality assessment of digital pictures is a crucial issue in several image and video processing applications including broadcasting, archiving, or restoration. The visibility of impairments related to digital image processing systems is subject to the spatio-temporal properties of the given image or video content. As quality assessment using subjective tests carried out by humans is very costly, time consuming, and not compatible with real-time constraints, objective measures are required that can predict the perceptual judgment of human viewers. In this paper, a top-down quality assessment tool that mimics a selection of prominent human visual system properties is presented. Quality evaluation is conducted based on perceptually salient feature points in our approach. It is shown that the proposed method, although featuring a significantly lower complexity than standardized quality measures, performs as well as these for block-based hybrid video coding.
AB - Automatic quality assessment of digital pictures is a crucial issue in several image and video processing applications including broadcasting, archiving, or restoration. The visibility of impairments related to digital image processing systems is subject to the spatio-temporal properties of the given image or video content. As quality assessment using subjective tests carried out by humans is very costly, time consuming, and not compatible with real-time constraints, objective measures are required that can predict the perceptual judgment of human viewers. In this paper, a top-down quality assessment tool that mimics a selection of prominent human visual system properties is presented. Quality evaluation is conducted based on perceptually salient feature points in our approach. It is shown that the proposed method, although featuring a significantly lower complexity than standardized quality measures, performs as well as these for block-based hybrid video coding.
KW - Block transform coding
KW - Image
KW - Quality assessment
KW - Video
UR - https://www.scopus.com/pages/publications/48149085338
U2 - 10.1109/ICIP.2007.4379108
DO - 10.1109/ICIP.2007.4379108
M3 - Conference contribution
AN - SCOPUS:48149085338
SN - 1424414377
SN - 9781424414376
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - II125-II128
BT - 2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
T2 - 14th IEEE International Conference on Image Processing, ICIP 2007
Y2 - 16 September 2007 through 19 September 2007
ER -