Image fusion quality evaluation based on quantized DCT coefficients

In this paper, two novel non-reference objective image fusion quality evaluation metrics are presented. The novel metrics are based on the correlation between human visual perception and quantized discrete cosine transform coefficients. Hamming distance is adopted to calculate similarity, and then the novel metrics are deduced. The influence of quantization table selection is analyzed. Experiments verify the effectiveness and efficiency of the novel metrics.