Generally, the effectiveness, namely, high correlation with the human subjective score, is the prerequisite of a good IQA model, it is of first importance to a IQA model.

The efficiency (the least computation cost), however, is the second requirement of a good IQA model which become important under the premise that an IQA model meet the condition of "effectiveness".

In this paper, we developed an effective and efficient IQA model called multiscale contrast similarity deviation (MCSD) which explores the contrast features by resorting to multiscale representation.

Performances on six benchmark databases demonstrate its effectiveness and efficiency.