Prospects of Structural Similarity Index for Medical Image Analysis

An image quality matrix provides a significant principle for objectively observing an based on alteration between the original and distorted images. During past two decades, novel universal assessment has been developed with ability of adaptation human visual perception measuring difference degraded from reference image, namely structural similarity index. Structural since widely used in various sectors, including medical evaluation. Although numerous studies have reported use as evaluation strategy computer-based images, reviews prospects using imaging applications rare. This paper presents previous implementing analyzing images modalities. In addition, this review describes perspective family’s historical background, well progress made to recent similarity, its strengths drawbacks. Additionally, potential research directions applying such similarities related analyses are described. will be beneficial guiding researchers toward discovery examination methods that can improved through