Assessment of Diverse Quality Metrics for Medical Images Including Mammography

T.Venkat Narayana Rao, A. Govardhan, Research Scholar, JNTU Kakinada and GNITC, Professor, CSE, JNTUH, Hyderabad, A.P, India Hyderabad, A.P, India , ABSTRACT This paper presents the comparative analysis of various quality metrics for medical image processing. Measurement of image quality is vital for numerous image-processing applications. Image quality measurement is closely related to image resemblance and assessment in which quality is based on the differences (or similarity) between a degraded image and that of the original image i.e. unmodified image chiefly in mammographic images. We have e mp loy ed s imple verifiable techniques for representing the image quality rather than difficult mathematical procedures, which are costly, time consuming and observer dependent. In this paper, the images have been subjected to various degrees of blur, noise, compression , contrast levels . Based on these factors the quality has been measured in terms of metrics like Mean Squared Error (MSE), Peak Signal-toNoise Ratio (PSNR), Maximum difference (MD) including new metric of image qualities such as Structural Similarity Index Metrics (SSIM)for low cost medical image analysis.