Abstract：The goal of quality assessment research is to design algorithms for objective evaluation of quality in a way that is consistent with subjective human evaluation.Based on the human visual system(HVS) with different sensitivities in the frequency domain,low frequency coefficient error and high frequency coefficient error are calculated by different methods.The product of two errors is adopted as objective evaluation of quality.The new method is validated with subjective quality scores on LIVE database which containing 982 images.Experimental results show that the performance of the new method is superior to the algorithms of PSNR,LMSE and SSIM.
郑江云;江巨浪. 基于小波第二级系数误差的图像质量评价模型[J]. 电子学报, 2012, 40(3): 559-563.
ZHENG Jiang-yun;JIANG Ju-lang. A Model of Image Quality Assessment Based on Wavelet Second Coefficient Error. Chinese Journal of Electronics, 2012, 40(3): 559-563.
2012, Vol. 40 
