Frequency structure analysis for IQA
Over the past years, research and applications of image quality assessment have attracted increasing attention. Basically, naked human eyes are the final receivers of an image and human visual system is able to extract structural information from the viewing field with high adaptation. Different frequency components of an image play different roles on image semantic contents, and the extraction of the visual information is also crucial in computerized image quality assessment systems. In this paper, an image quality assessment metrics is proposed based on wavelet structure and human perception. With the proposed metric, structural similarity is well expanded from pixel-wise to frequency field. Experimental results illustrate that the proposed metric gives good consistency with subjective assessment results of naked human eyes, i.e., it fits well the perception of human visual system.