.png){kind=icon}
返回
An image response framework for no-reference image quality assessment
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compeleceng.2017.12.019.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper proposes an image response framework for no-reference image quality assessment (NR IQA). The framework is an image quality feature extension framework, extending existing image quality features to new NR image quality features. In the framework, a test image is transformed into a number of sub-images through multi-scale preprocessing. The sub-images are taken as image objects, and each object is exerted with multiple local convolution operations as image inputs. Object responses are extracted from the objects under the inputs based on existing image quality features. All the responses compose a global image response feature vector and are mapped to a quality index. Object responses are the NR extensions of the existing image quality features, which signifies the extensions of IQA approaches. Experiments show that the framework can extend full-reference IQA and reduced-reference IQA approaches to NR IQA approaches, and extend NR IQA approaches to new higher-performance NR IQA approaches. (C) 2017 Elsevier Ltd. All rights reserved.
Keyword:
No-reference image quality
Multi-scale preprocessing
Image input
Image object response
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
C
IF:
4.9
论文数:
6.7K
被引数:
1.3W
机构
暂无机构信息
引用论文
.png){kind=icon}
A No-Reference Objective Image Sharpness Metric Based on the Notion of Just Noticeable Blur (JNB)
PREAI
分享收藏PROPHYLACTIC TREATMENT OF ACQUIRED VON WILLEBRAND DISEASE IN NON-HUMAN PRIMATES WITH VGA039, AN ANTI-PROTEIN S MONOCLONAL ANTIBODY使用VGA039（一种抗蛋白S单克隆抗体）对非人灵长类动物进行获得性冯·维勒布兰德氏病的预防性治疗
PREAI
分享收藏Testing digital safety system software with a testability measure based on a software fault tree基于软件故障树的可测试性测试数字安全系统软件
PREAI
分享收藏Human Visual System-Based Fundus Image Quality Assessment of Portable Fundus Camera Photographs
PREAI
分享收藏
分享收藏
查看更多内容