Image quality assessment based on local variance.
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.
Aja-Fernández
Santiago
S
LPI, ETSI Telecomunicación Valladolid Univ., Spain.
Estépar
Raúl San José
RS
Alberola-López
Carlos
C
Westin
Carl-Fredrik
CF
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