With the growing demand for image and video-based applications, the requirements of
consistent quality assessment metrics of image and video have increased. Different …

Due to the limitation of commercial light field camera hardware devices, the imaging field of
view is quite narrow. Numerous Light Field Image (LFI) stitching algorithms have been …

With the rapid technological advances of the recent years, the practical instances of the
metaverse have become more immersive and engaging than ever before. In their most …

Light field image (LFI) quality assessment is becoming more and more important, which
helps to better guide the acquisition, processing and application of immersive media …

Light field image quality assessment (LFI-QA) is a significant and challenging research
problem. It helps to better guide light field acquisition, processing and applications …

In this paper, we propose a blind image quality assessment (BIQA) method using self-
attention and a recurrent neural network (RNN); this approach can effectively capture both …

As compared to standard dynamic range (SDR) videos, high dynamic range (HDR) content
is able to represent and display much wider and more accurate ranges of brightness and …

A densely-sampled light field (LF) is highly desirable in various applications, such as 3-D
reconstruction, post-capture refocusing and virtual reality. However, it is costly to acquire …

In this paper, a framework based on two feature extraction networks and a multilevel feature
fusion (MFF) network is proposed. Multilevel degradation features can be obtained through …

In this paper, an end-to-end blind image quality assessment (BIQA) model based on feature
fusion with an attention mechanism is proposed. We extracted the multilayer features of the …