With the rise in high quality displays and cameras following the mainstream adoption of smartphones, the color quality of images is becoming an essential aspect of engaging and attracting consumers. A color quality assessment (CQA) would provide insights into what users perceive and could be put to use when engineering cameras and displays. Twenty cameras were used to capture pictures of common objects like grass, sky, wood, and sand. CQA for common objects was performed using a rank order perceptual testing method, where the observers were asked to rank images of the same object captured by 20 different cameras according to their order ofCQA. We confirm the results of the Rank CQA, by performing an Anchored Scaling experiment where the lower anchor is the least ranked and the higher anchor is the highest ranked image from the rank order CQA. The results of this test were generally consistent with the results of the CQA. We also evaluated memory colors using Method of Adjustment. Observers were asked to recreate their memory color for the common objects used in the CQA by adjusting a uniform color patch in CIELAB space. The results for the CQA shows that the preferred camera varies across the images of common objects. The results for the memory color experiment vary across the observers as they can be influenced by geographical locations, cultural backgrounds and other such factors. The results for both the experiments were then combined to compare how the memory color of observers differs from the actual color of the object images.