Image Quality assessment plays an important role in various image processing applications. It is still an active field of research. A great deal of effort has been made in recent years to develop objective image quality metrics that correlate well with perceived human quality measurement or subjective methods. Most full reference(FR) technique were derived based on pixel to pixel error such as ...

This work proposes a perceptual based no-reference objective image quality metric by integrating perceptually weighted local noise into a probability summation model. Unlike existing objective metrics, the proposed no-reference metric is able to predict the relative amount of noise perceived in images with different content, without a reference. Results are reported on both the LIVE and TID2008...

Nowadays, new “digital” areas have brought in many new image and video applications and new technologies in different fields, such as biology, medicine, engineering, and entertainment. The images and videos are compressed, transmitted, captured, and stored in various digital forms, with different types and amounts of impaired artifacts. While in bio-medical applications, speckle noise and codin...

Objective image quality assessment (QA), which automatically evaluates the image quality consistently with human perception, is essentially important for numerous image and video processing applications. We propose a new objective QA method for full reference model based on the energy of structural distortion (ESD). Firstly, we collect the characteristics of the structural information by the no...

Print media collections of considerable size are held by cultural heritage organizations and will soon be subject to digitization activities. However, technical content quality management in digitization workflows strongly relies on human monitoring. This heavy human intervention is cost intensive and time consuming, which makes automization mandatory. In this article, a new automatic quality a...

Multimedia communication is becoming pervasive because of the progress in wireless communications and multimedia coding. Estimating the quality of the visual content accurately is crucial in providing satisfactory service. State of the art visual quality assessment approaches are effective when the input image and the reference image have the same resolution. However, finding the quality of an ...

Objective image and video quality measures play important roles in a variety of image and video processing applications, such as compression, communication, printing, analysis, registration, restoration, enhancement and watermarking. Most proposed quality assessment approaches in the literature are error sensitivity-based methods. In this paper, we follow a new philosophy in designing image and...

Screen content images (SCIs) usually comprise various types with sharp edges, in which artifacts or distortions can be effectively sensed by a vanilla structure similarity measurement full-reference manner. Nonetheless, almost all of the current state-of-the-art (SOTA) metrics are “locally” formulated single-level manner, while true human visual system (HVS) follows multilevel manner; such mism...