The assessment of image quality is very important for numerous image processing applications, where the goal of image quality assessment (IQA) algorithms is to automatically assess the quality of images in a manner that is consistent with human visual judgment. Two prominent examples, the Structural Similarity Image Metric (SSIM) and Multi-scale Structural Similarity (MS-SSIM) operate under the...

The Structural Similarity (SSIM) Index is a very popular image quality assessment algorithm due to its good performance and simple calculation. This paper analyzes the influence of the smooth region on the performance of SSIM. It was found out that SSIM tends to depend on the quality of the smooth region to assess the quality of the whole image. From analysis by means of the SSIM quality map, w...

The assessment of image quality is important in numerous image processing applications. Two prominent examples, the Structural Similarity Image (SSIM) index and Multi-scale Structural Similarity (MS-SSIM) operate under the assumption that human visual perception is highly adapted for extracting structural information from a scene. Results in large human studies have shown that these quality ind...

Image quality metrics have been widely used in imaging systems to maintain and improve the quality of images being processed and transmitted. Due to the close relationship between image quality perception and the human visual system, the development of image quality metrics has been contributed to by both psychologists and computer scientists. In this paper, three novel image quality metrics ar...

One of the key issues for a successful roll out of digital cinema is in the quality it offers. The most practical and least expensive way of measuring quality of multimedia content is through the use of objective metrics. In addition to the widely used objective quality metric peak signal-to-noise ratio (PSNR), recently other metrics such as single scale structural similarity (SS-SSIM) and mult...

Complex wavelet structural similarity (CW-SSIM) index has been recognized as a novel image similarity measure of broad potential applications due to its robustness to small geometric distortions such as translation, scaling and rotation of images. Nevertheless, how to make the best use of it in image classification problems has not been deeply investigated. In this study, we introduce a series ...

We show that the structural similarity (SSIM) index, which is used in image processing to assess the similarity between an image representation and an original reference image, can be formulated as a locally quadratic distortion measure. We, furthermore, show that recent results of Linder and Zamir on the rate-distortion function (RDF) under locally quadratic distortion measures are applicable ...

Digital images are subject to a wide variety of distortions during image processing application, and it is necessary to develop objective image quality metric to evaluate the degradation automatically. Images are prepared for human eyes so that the assessment result must be consistent with human visual effect. Structure Similarity (SSIM), a well-known objective image quality assessment, is prop...

In a few words, this thesis is concerned with two alternative approaches to imaging, namely, Function-valued Mappings (FVMs) and Structural Similarity Index Measure (SSIM)-based Optimization. Briefly, a FVM is a mathematical object that assigns to each element in its domain a function that belongs to a given function space. The advantage of this representation is that the infinite dimensionalit...