A visual quality evaluation method for telemedicine applications
| Autor: | Maria G. Martini, Karim M. Nasr |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Computer science
media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION alliedhealth Logo 02 engineering and technology Video quality computer.software_genre 0202 electrical engineering electronic engineering information engineering Overhead (computing) Computer vision Quality (business) Electrical and Electronic Engineering computer Subjective video quality media_common business.industry Frame (networking) 020206 networking & telecommunications Peak signal-to-noise ratio Signal Processing 020201 artificial intelligence & image processing Computer Vision and Pattern Recognition Artificial intelligence Data mining business Software Data transmission |
| Zdroj: | Signal Processing: Image Communication. 57:211-218 |
| ISSN: | 0923-5965 |
| DOI: | 10.1016/j.image.2017.06.003 |
| Popis: | We present a new approach for image and video quality evaluation in telemedicine applications, relying on the quality assessment of a pre-known reduced size logo embedded in an unused part of the medical ultrasound frame. The method is tested using two different objective metrics, namely: the Peak Signal to Noise Ratio (PSNR) and the Structural SIMilarity index (SSIM). Comparisons with subjective results in terms of Differential Mean Opinion Scores (DMOS) are also presented. We show that the presented method, not needing the original frame to predict the quality, achieves a high correlation with subjective results (more than 0.9) for the different quality metrics used. We also present relationships between the quality derived via the logo and via the original frame and we assess the overhead in data transmission resulting from the compressed logo data and its protection overhead. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect