Quality Assessment for Block-based Compressed Images and Videos with regard to

In this paper a novel quality metric for block-based compressed images and videos is proposed. The metric is designed to measure the “strength ” of the blocking artifacts. The method is fast and robust. Experimental results show that there is a clear relationship between the strength of the detected blockiness and the compression ratio. The proposed algorithm is also able to distinguish between natural edges present in the original image, and blocking artifacts originated from compression.