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Image Quality Assessment (IQA) has many applications in digital image processing and many techniques have been proposed for its measurement such as Mean Squared Error (MSE). In this paper, a new technique, Edge Base Image Quality Assessments (EBIQA) is proposed. It is based on different edge features which are computed from original and distorted images. We implement and test the proposed technique using different input samples. Our experimental results show that the EBIQA technique obtains different values for different distorted images which are belong to an original image, while MSE technique does not. In addition, our proposed technique is consistent with the mean opinion score that is an IQA measurement evaluated by a number of expert observers. All means that the proposed technique is suitable algorithm for automatic image quality assessment compared to other techniques.