A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Critical video quality for distributed automated video surveillance
Proceedings of the 13th annual ACM international conference on Multimedia
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Structural similarity image quality reliability
Signal Processing
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In distributed multimedia applications, an information compression stage is usually necessary. The objective here is to obtain a compression rate that makes the application viable. In this stage, reductions in image quality are often produced in order to reach high rates of compression. This image degradation must be measured and known in order to ensure that it can be limited within an acceptable range of values. The most commonly used metrics are MSE and PSNR. In recent years other metrics have been developed with the aim of obtaining values closer to human subjective evaluation. In this paper, metrics of image compression degradation for image processing applications are analyzed. We propose degradation metrics when the images are used in image processing applications. These are tested on two types of application which show a more than acceptable correlation between the measures and vision algorithms.