This paper presents a no-reference image blur metric that is based on the study of human
blur perception for varying contrast values. The metric utilizes a probabilistic model to …

This work presents a perceptual-based no-reference objective image sharpness/blurriness
metric by integrating the concept of just noticeable blur into a probability summation model …

In this paper, we address the problem of no-reference quality assessment for digital pictures
corrupted with blur. We start with the generation of a large real image database containing …

One of the most challenging problems for researchers in the field of image processing is
image quality assessment. A very important factor in image quality assessment is image …

A no-reference objective sharpness metric detecting both blur and noise is proposed in this
paper. This metric is based on the local gradients of the image and does not require any …

The goal of the project" Facial Metrics for EES" is to develop, implement and publish an
open source algorithm for the quality assessment of facial images (OFIQ) for face …

In this paper, we propose a novel design of human visual system (HVS) response in a
convolutional filter form to decompose meaningful features that are closely tied with image …

This paper exploits laser speckle photometry (LSP), a full-field non-contact optical-based
image analysis technique, for effectively and rapidly imaging hidden damage in structures …

图像质量对人类视觉信息的获取影响很大, 如何在没有参考图像的情况下准确地评价失真图像的
质量是一个关键但又非常困难的问题. 本文回顾了**20 年来无参考图像质量评价发展的主要 …

Purpose: Retinal images acquired by means of digital photography are often used for
evaluation and documentation of the ocular fundus, especially in patients with diabetes …