Picture quality evaluation model for color coded images: considering observing points and local feature of image

This paper shows a picture quality evaluation model for JPEG coded color images. This methodology is obtained by a multi-variable analysis of picture distortion and it provides a numerical value of picture quality. The accuracy of the picture quality evaluation is dependent upon characteristics of the picture quality evaluation models. The error components e(x,y) are computed by subtracting color components (RGB, CIE L*a*b*, L*u*v*, etc.) of distorted compressed images from the original ones. The evaluation model is obtained by multi-variable analysis of distortion models. We then use regression methods to combine these picture quality evaluation models into a single number representative of the quality of a given image. We also evaluate the characteristics of picture quality evaluation models, because good picture quality evaluation models are indispensable to estimate the subjective mean opinion score (MOS) with a high accuracy. This model evaluates picture quality with high accuracy and estimates MOS well.