A deep learning approach to image quality assessment

A deep learning approach to image quality assessment

Deep convolutional neural networks (DCNNs) have an unchallengeable performance advantage over traditional machine learning in solving visual problems. However, DCNNs are vulnerable when the input signals are distorted or manipulated maliciously. We explore the computational modeling of image quality...

Saved in:

書目詳細資料
主要作者:	Feng, Yeli
其他作者:	Cai Yiyu
格式:	Theses and Dissertations
語言:	English
出版:	2019
主題:	Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
在線閱讀:	https://hdl.handle.net/10356/85493 http://hdl.handle.net/10220/50465
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

Using deep learning for quality control in cyber-manufacturing
由: Dai, Wenting
出版: (2022)

Fine-grained image classification using deep learning
由: Sun, Deguang
出版: (2022)

Deep learning approach for detection of melanoma from skin lesion images
由: Ku, Hui Sien
出版: (2019)

Photorealistic stylised image quality assessment database (PSIQAD) building and modelling
由: Low, Qing Ru
出版: (2020)

Image quality assessment based label smoothing in deep neural network learning
由: Chen, Zhou
出版: (2018)

Skin cancer detection with deep learning
由: Gupta, Jay
出版: (2022)

Attack on training effort of deep learning
由: Ho, Tony Man Tung
出版: (2022)

Deep learning for style and domain transfer
由: Ni, Anqi
出版: (2022)

Detecting the crowdedness of people by deep learning
由: Heng, Seng En
出版: (2021)

Deep learning based car license plate recognition
由: Ngo, Jason Jun Hao
出版: (2021)

Attack on prediction confidence of deep learning neural networks
由: Ng, Garyl Xuan
出版: (2022)

Deep reinforcement learning for intractable routing & inverse problems
由: Zhang, Rongkai
出版: (2023)

Evaluation of adversarial attacks against deep learning models
由: Chua, Jonathan Wen Rong
出版: (2023)

Evaluations of deep learning methods for detection of gap in concrete structures
由: Yang, Zhen
出版: (2021)

Deep learning for medical image analysis
由: Yang, Ivan Sze Yuan
出版: (2020)

Bridging images and natural language with deep learning
由: Gu, Jiuxiang
出版: (2019)

Image artefact removal using deep learning
由: Sanchari, Das
出版: (2022)

Image and video generation via deep learning
由: Jiang, Liming
出版: (2023)

Image processing and machine learning for data investigation in flash memory
由: Chew, Wei Min
出版: (2023)

A lightweight handcrafted feature-based selective attention network for blind image quality assessment
由: Feng, HaoLin
出版: (2023)

Visual saliency computation and quality evaluation via deep learning
由: Yang, Sheng
出版: (2021)

Deep disentangling learning for real-world image enlightening and restoration
由: Chan, Yi Xuan
出版: (2022)

Deep learning for object detection under rainy conditions
由: Chin, Zhuo Sheng
出版: (2018)

Pavement defect detection with deep convolutional neural network
由: Chan, Zhen Yi
出版: (2023)

Towards deep neural networks robust to adversarial examples
由: Matyasko, Alexander
出版: (2020)

Automated image quality assessment and its applications in computer vision
由: Zhou, Phoebe Huixin
出版: (2022)

Training deep network models for accurate recognition of texts in scenes
由: Teo, Ren Jie
出版: (2020)

Exploring the vulnerabilities and enhancing the adversarial robustness of deep neural networks
由: Bai, Tao
出版: (2022)

Deep image enhancement
由: Han, Jun
出版: (2021)

Image deraining
由: Goh, Jun Rong
出版: (2023)

Deep learning based people detection using 3D point cloud
由: Tan, Kye Min
出版: (2018)

Computational imaging and detection via deep learning
由: Kong, Lingdong
出版: (2020)

Image and video super-resolution in the wild
由: Chan, Kelvin Cheuk Kit
出版: (2022)

Image processing and algorithms for medical applications
由: Wang, Shangyu
出版: (2022)

Human motion tracking using deep learning
由: Peok, Qing Xiang
出版: (2020)

Background preservation for text-guided image editing
由: Huang, Runtao
出版: (2023)

Text restoration using image super resolution
由: Bodipati, Kiran
出版: (2023)

Generative adversarial network (GAN) for image synthesis
由: Hou, Boyu
出版: (2022)

Image quality assessment based on gradient similarity
由: Liu, Anmin, et al.
出版: (2013)

Quality assessment of facial images for face recognition
由: Li, Hui.
出版: (2010)