Blind image quality assessment is a challenging task particularly due to the unavailability of reference information. Training deep neural network requires large amount training data which not readily available for quality. Transfer learning usually opted overcome this limitation and different architectures are used purpose as they learn features differently. After extensive experiments, we hav...

Image quality assessment (IQA) continues to garner great interest in the research community, particularly given the tremendous rise in consumer video capture and streaming. Despite significant research effort in IQA in the past few decades, the area of noreference image quality assessment remains a great challenge and is largely unsolved. In this paper, we propose a novel no-reference image qua...

Iris image quality assessment is an important part of iris recognition system because the qualities of iris images would largely influence the recognition results. In this paper, we analyze and compare several representative quality assessment methods, and then propose an effective method based on Laplacian of Gaussian operator for iris image assessment. Through computer simulations of several ...

Background Cardiovascular Magnetic Resonance (CMR) is recognised as the gold standard technique for the assessment of cardiovascular function in adults. In children, image quality is dependent on compliance with motion control and breath-hold instructions. Inability to maintain repeated breath-holds in a consistent phase of respiration can result in respiratory misregistration errors. There is ...

Image quality assessment (QA) plays a major role in a broad range of applications. Evaluating the adequacy of a quality image for a given application (image or video processing applications) is a requisite. However, objective quality assessment is far from being a solved problem. In this paper, a measure for image quality assessment is introduced after a brief review of previous work. A metric ...