DocumentCode :
2955509
Title :
Perceptual Dissimilarity: A Measure to Quantify the Degradation of Medical Images
Author :
Saha, Simanto ; Tahtali, Murat ; Lambert, Andrew ; Pickering, Mark
Author_Institution :
Sch. of Eng. & Inf. Technol., Univ. of New South Wales Canberra, Canberra, ACT, Australia
fYear :
2012
fDate :
3-5 Dec. 2012
Firstpage :
1
Lastpage :
6
Abstract :
This paper introduces a novel image quality metric that outperforms other existing and widely used metrics, namely the Root Mean Square Error (RMSE). While objective methods for assessing perceptual image quality to quantify the visibility of errors between a distorted image and a reference image have got utmost importance nowadays, none of the proposed metrics are completely satisfactory. Structural Similarity Index has been found promising in some cases, however for medical imaging (especially for CT and MRI images) it still remains immature. On that perspective, the Perceptual Dissimilarity (PD) measure proposed in this paper has been found satisfactory enough to work with medical imaging demands.
Keywords :
biomedical MRI; computerised tomography; mean square error methods; medical image processing; CT images; MRI images; RMSE; distorted image; image quality metric; medical image degradation quantification; medical imaging demands; perceptual dissimilarity measure; reference image; root mean square error; structural similarity index; Biomedical imaging; Degradation; Humans; Image quality; Image reconstruction; Indexes; Measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Image Computing Techniques and Applications (DICTA), 2012 International Conference on
Conference_Location :
Fremantle, WA
Print_ISBN :
978-1-4673-2180-8
Electronic_ISBN :
978-1-4673-2179-2
Type :
conf
DOI :
10.1109/DICTA.2012.6411728
Filename :
6411728
Link To Document :
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