Acclimatization calculation based on image quality assessment

Acclimatization Calculation is defined that computer takes the key factor detection and computing, then makes judgment based on certain method to remove interference, improve robustness of system and recognition rate. The complicated environment has a strong impact on system because image quality and recognition rate are affected directly by it. Compared with other factors in complicated environment, variable illumination and view have a more obvious effect on image quality. According to illumination and view having effect on image quality, in this paper, we propose a theoretical frame of acclimatization calculation and apply it to the extended Yale Face Database B. We get information of illumination and view about image by using Daubechies wavelet transform. Making full use of information above can evaluate and make a sound judgment, and then select the best image matching the characteristics of HVS (human visual system). Finally interference of bad images is removed and recognition rate is improved. The experimental results prove the method is efficient.