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Image viewing distance plays an important role in the assessment of image Quality of Experience (QoE). In this work, we present a subjective image QoE study in which a total of 494 images evaluated by more than 30 human subjects at 7 different viewing distance. Through the study, we observed that different images have different regularities between viewing distance and their QoE. A No-Reference QoE assessment model is proposed to objectively measure image QoE considering viewing distance. The experiments conducted on our database show that the proposed model achieves high correlation between its predicted QoE score and human perception. Moreover, we have made the image database freely available to the research community.