title: Image quality assessment based on local variance.
abstract: A new and complementary method to assess image quality is presented. It is based on the comparison of the local variance distribution of two images. This new quality index is better suited to assess the non-stationarity of images, therefore it explicitly focuses on the image structure. We show that this new index outperforms other methods for the assessment of image quality in medical images.
authors.affiliation: LPI, ETSI Telecomunicación Valladolid Univ., Spain.
authors.forename: Santiago
authors.initials: S
authors.lastname: Aja-Fernández
authors.forename: Raúl San José
authors.initials: RS
authors.lastname: Estépar
authors.forename: Carlos
authors.initials: C
authors.lastname: Alberola-López
authors.forename: Carl-Fredrik
authors.initials: CF
authors.lastname: Westin
mesh_terms: D000465:Algorithms; D001921:Brain / Q000473:pathology; D002138:Calibration; D003952:Diagnostic Imaging / Q000295:instrumentation* / Q000379:methods; D006801:Humans; D007089:Image Enhancement; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation* / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation* / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000295:instrumentation / Q000379:methods*; D015233:Models, Statistical; D010363:Pattern Recognition, Automated; D011786:Quality Control; D015203:Reproducibility of Results; D012984:Software