Image Quality Assessment (IQA) is a fundamental task in computer vision that has witnessed
remarkable progress with deep neural networks. Inspired by the characteristics of the human …

Effectively evaluating the perceptual quality of dehazed images remains an under-explored
research issue. In this paper, we propose a no-reference complex-valued convolutional …

Image restoration is one of the most important computer vision tasks, aiming at recovering
high-quality images from degraded or low-quality observations. The restoration methods …

Blind light field image quality assessment (LFIQA) models are able to automatically evaluate
the perceptual quality of the distorted light field image (LFI) under conditions where the …

With the assistance of Convolutional Neural Networks (CNNs), Image Quality Assessment
(IQA) models have made great progress in evaluating both simulated distortion and …

Blurriness is annoying yet common in digital images. Many sharpness assessment
indicators using handcrafted features achieve impressive results on synthesized blurring …

Light Field Image (LFI) records both angular and spatial information and provides immersive
experiences for observers by rendering a scene from multiple perspectives. To cope with the …

Abstract Art designs exhibit different principles, textures, color combinations, and creative
skills for vivid thinking visualizations. Art exhibits are far from ages, periods, and creators …

This technical summary gives a scientific technique to evaluate the effect of photograph
healing on virtual image processing with the usage of a compression technique. First, a …