论文信息 - Assessment of Color Video Quality Based on Quaternion Singular Value Decomposition

Assessment of Color Video Quality Based on Quaternion Singular Value Decomposition

Measurement of visual quality is of fundamental importance for numerous video processing applications. In this paper, we proposed a full-reference color video quality assessment based on quaternion singular value decomposition(QSVD), which takes into account the luminance, chrominance and gradient information of each pixel and treats them as a whole. The algorithm is tested on the video quality experts group (VQEG) Phase I FR-TV test dataset. Experiments show that it has good correlation with perceived video quality.

[1] Zhou Wang,et al. Image Quality Assessment: From Error Measurement to Structural Similarity , 2004 .

[2] Zhou Wang,et al. Modern Image Quality Assessment , 2006, Modern Image Quality Assessment.

[3] Stefan Winkler,et al. Perceptual distortion metric for digital color video , 1999, Electronic Imaging.

[4] Gustavo de Veciana,et al. An information fidelity criterion for image quality assessment using natural scene statistics , 2005, IEEE Transactions on Image Processing.

[5] Chulhee Lee,et al. Edge degradation for objective video quality metrics , 2004, IS&T/SPIE Electronic Imaging.

[6] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[7] James Hu,et al. DVQ: A digital video quality metric based on human vision , 2001 .

[8] Philip Corriveau,et al. Video Quality Experts Group , 2005 .

[9] Fuzhen Zhang. Quaternions and matrices of quaternions , 1997 .

[10] Ahmet M. Eskicioglu,et al. An SVD-based grayscale image quality measure for local and global assessment , 2006, IEEE Transactions on Image Processing.

[11] Iain E. G. Richardson,et al. H.264 and MPEG-4 Video Compression: Video Coding for Next-Generation Multimedia , 2003 .