Evaluating the quality of panoramic images has gradually become a hot research topic with
the development of virtual reality (VR) technology. Therefore, a novel method is proposed to …

Research and development of image quality assessment (IQA) algorithms have been in the
focus of the computer vision and image processing community for decades. The intent of IQA …

With the development of digital imaging techniques, image quality assessment methods are
receiving more attention in the literature. Since distortion-free versions of camera images in …

Soil total nitrogen (TN) is a vital nutrient element that affects the growth and rubber
production of rubber trees. Especially in the coastal environment, soil nutrients will show …

Selective encryption algorithms have currently become an important method for protecting
image privacy. Visual security evaluation of selective encrypted images plays an important …

Synthetic aperture radar (SAR) imaging is hindered by coherent imaging mechanisms,
leading to degradation in image quality due to speckle. Current methods can effectively …

The quality of images is always at stake due to the abundant compression, transferring, and
processes done on them. Each of which brings about its own type of degradation to the …

This study focuses on improving the objective alignment of image quality assessment (IQA)
algorithms with human visual perception. Existing methodologies, predominantly those …

Aiming to automatically monitor and improve stereoscopic image and video processing
systems, stereoscopic image quality assessment approaches are becoming more and more …

Objective image quality assessment involves the use of mathematical models to
quantitatively describe image quality. FR-IQA (Full-Reference Image Quality Assessment) …