Image Quality Assessment Incorporating the Interaction of Spatial and Spectral Sensitivities of HVS
Anzhou Hu, Rong Zhang, Xin Zhan, Yin Dong · Signal and Image Processing · 2011
The development of reliable objective image quality assessment (IQA) metrics coordinate to the human‟s perception is crucial in numerous image processing applications. State-of-art perceptual IQA methods focus on two techniques using the sensitivities of human visual system (HVS). One is perceptual pooling strategy in spatial domain while the other is multi-channel model in spectral domain. In this paper, we incorporate the two directions and propose a novel method which employs the interaction of spatial and frequency sensitivities of HVS. Experimental results demonstrate that the proposed metric achieves a better subjective perception consistent than those using Structural Similarity (SSIM), Multi-scale SSIM (MS-SSIM) and singular value decomposition (SVD). The metric also outperforms the methods only considering the spatial or spectral sensitivities of HVS.