期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：11
出版社：S.S. Mishra
摘要：This paper presents the comparative analysis of various quality metrics for medical image processing. Measurement of image quality is important for many image processing applications. Image quality ass essment is closely related to image similarity assessment in which quality is based on the differences (or similarity) between a degraded image and the original, unmodified image. Objective methods have been used for expressing the image quality because these are automatic and mathematically well defined procedure unlike subjective methods which are expansive, time consuming and observer dependent. In this work images have been subjected to various degrees of blur, noise, compression and contrast levels an d quality has been measured in terms of well known metrics such as Mean Squared Error (MSE), Structural Similarity Index Metrics (SSIM) Peak Signal-to-Noise Ratio (PSNR), Maximum difference (MD), etc.
关键词：Image quality analysis; Mean Square Error (MSE); Structural Similarity Index Metric(SSIM); Peak Signal to Noise ;Ratio(PSNR); Mean Absolute Error(MAE)
