The present study proposes a method for estimation of subjective image quality, for combinations of display physical factors, based on the Mahalanobis-Taguchi system in the field of quality engineering. The proposed method estimates subjective image quality by the estimated equation based on the Mahalanobis-Taguchi System and subjective evaluation experiments using the method of successive categories for images of which parameters are combinations of gamma, maximum luminance and minimum luminance. The estimated image quality is in good agreement with the experimental subjective image quality.

The purpose of this study is to estimate the noise level of every pixel in a single noisy image, that is superimposed independent and non-identically distributed random variables with normal distribution. The method makes a set of similar pixels in the local region to the interest pixel using the approximate function of noise variance, and estimates with regard to the noise level. As the results show, the proposed method is effective in estimation of noise level of every pixel for any images.