Novel no-reference image blur metric based on block-based discrete cosine transform statistics

Yu Han; Xiaoming Xu; Yunze Cai

首页> 外文期刊>Optical engineering >Novel no-reference image blur metric based on block-based discrete cosine transform statistics

【24h】

Novel no-reference image blur metric based on block-based discrete cosine transform statistics

机译：基于基于块的离散余弦变换统计量的新型无参考图像模糊度量

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

A new algorithm for no-reference blurred image quality assessment is proposed. This metric is based on block-based discrete cosine transform statistics and linear prediction method. We compare the performance of the proposed method with four blur metrics on three famous databases and our work shows the best results.

机译：提出了一种新的无参考模糊图像质量评估算法。该度量基于基于块的离散余弦变换统计信息和线性预测方法。我们在三个著名的数据库上比较了所提出的方法与四个模糊度量的性能，我们的工作显示了最佳结果。

著录项

来源
《Optical engineering》 |2010年第5期|p.050501.1-050501.3|共3页
作者
Yu Han; Xiaoming Xu; Yunze Cai;
展开▼
作者单位

Shanghai Jiao Tong University, Department of Automation, Shanghai, China;

Shanghai Jiao Tong University, Department of Automation, Shanghai, China;

Shanghai Jiao Tong University, Department of Automation, Shanghai, China;

展开▼
收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
discrete cosine transform statistics; no-reference im-age quality assessment; blurred image quality;

机译：离散余弦变换统计量;无参考图像质量评估;图像质量模糊;

相似文献

外文文献
中文文献
专利

1. Novel no-reference image blur metric based on block-based discrete cosine transform statistics [J] . Yu Han Xiaoming Xu and Yunze Cai Optical Engineering . 2010,第5期

机译：基于基于块的离散余弦变换统计量的新型无参考图像模糊度量
2. Natural scene statistics model independent no-reference image quality assessment using patch based discrete cosine transform [J] . Imran Fareed Nizami, Mobeen ur Rehman, Muhammad Majid, Multimedia Tools and Applications . 2020,第35a36期

机译：自然场景统计模型独立无参考图像质量评估使用贴片离散余弦变换
3. No-reference Image Sharpness Measure using Discrete Cosine Transform Statistics and Multivariate Adaptive Regression Splines for Robotic Applications [J] . Kanjar De, V. Masilamani Procedia Computer Science . 2018,第22期

机译：使用离散余弦变换统计数据和多元自适应回归样条进行机器人应用的无参考图像清晰度测量
4. Fast no-reference image sharpness measure for blurred images in discrete cosine transform domain [C] . Kanjar De, V. Masilamani IEEE Students' Technology Symposium . 2016

机译：离散余弦变换域中模糊图像的快速无参考图像清晰度测量
5. No-reference natural image/video quality assessment of noisy, blurry, or compressed images/videos based on hybrid curvelet, wavelet and cosine transforms . [D] . Shen, Ji. 2010

机译：基于混合Curvelet，小波和余弦变换的无参考自然图像/视频质量评估，包括噪点，模糊或压缩图像/视频。
6. Parametric image reconstruction using the discrete cosine transform for optical tomography [O] . Xuejun Gu, Kui Ren, James Masciotti, 2009

机译：使用离散余弦变换进行光学层析成像的参数图像重建
7. Design and analysis of Discrete Cosine Transform-based watermarking algorithms for digital images. Development and evaluation of blind Discrete Cosine Transform-based watermarking algorithms for copyright protection of digital images using handwritten signatures and mobile phone numbers. [O] . Al-Gindy Ahmed M. N. 2011

机译：基于离散余弦变换的数字图像水印算法设计与分析。开发和评估基于盲离散余弦变换的水印算法，用于使用手写签名和手机号码保护数字图像。

Novel no-reference image blur metric based on block-based discrete cosine transform statistics

摘要

著录项

相似文献

相关主题

期刊订阅