In this paper, we present full-reference as well as no-reference metrics for typical JPEG 2000 compression artifacts, namely blur and ringing. These metrics are based on an analysis of the edges and adjacent regions in an image. Their perceptual significance is corroborated through subjective experiments. The proposed measurement algorithms are shown to perform well over a wide range of image content and compression ratios. They have low computational complexity and are near real-time. Potential applications of these novel metrics include source coding optimization and network resource management.