This paper deals with image quality assessment that is capturing the focus of several research teams from academic and industrial parts. This field has an important role in various applications related to image from acquisition to projection. A large numbers of objective image quality metrics have been developed during the last decade. These metrics are more or less correlated to end-user feedb...

In the field of Image Quality Assessment (IQA), this paper examines a Reduced Reference (RRIQA) measure based on the bi-dimensional empirical mode decomposition. The proposed measure belongs to Natural Scene Statistics (NSS) modeling approaches. First, the reference image is decomposed into Intrinsic Mode Functions (IMF); the authors then use the Generalized Gaussian Density (GGD) to model IMF ...

Abstract With the growing demand for image and video-based applications, requirements of consistent quality assessment metrics video have increased. Different approaches been proposed in literature to estimate perceptual images videos. These can be divided into three main categories; full reference (FR), reduced (RR) no-reference (NR). In RR methods, instead providing original or as a reference...

Research and development of image quality assessment (IQA) algorithms have been in the focus computer vision processing community for decades. The intent IQA methods is to estimate perceptual digital images correlating as high possible with human judgements. Full-reference algorithms, which full access distortion-free images, usually contain two phases: local estimation pooling. Previous works ...

Motivated by the problems of non-universality and over-reliance on original reference image in High dynamic range (HDR) Image quality assessment (IQA), a convolutional neural network-based algorithm for no-reference HDR is proposed. The Salience detection self-resemblance (SDSR) which extracts salient regions image, used to simulate human visual attention mechanism. Then perception network trai...

Human fingerprints are detailed and nearly unique markers of human identity. Such a stable fingerprint is also left on each acquired image. It can reveal how an image was degraded during the acquisition procedure thus closely related to quality In this work, we propose new no-reference assessment (NR-IQA) approach called domain-aware IQA (DA-IQA), which for first time introduces concept domain ...