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Home > Computer Vision and Image Processing: 4th International Conference, CVIP 2019, Jaipur, India, September 27–29, 2019, Revised Selected Papers, Part II > Tackling Multiple Visual Artifacts: Blind Image Restoration Using Conditional Adversarial Networks
Computer Vision and Image Processing: 4th International Conference, CVIP 2019, Jaipur, India, September 27–29, 2019, Revised Selected Papers, Part II |
Neeta Nain; Santosh Kumar Vipparthi; Balasubramanian Raman
Springer Nature Singapore
Computer Vision and Image Processing: 4th International Conference, CVIP 2019, Jaipur, India, September 27–29, 2019, Revised Selected Papers, Part II
Tackling Multiple Visual Artifacts: Blind Image Restoration Using Conditional Adversarial Networks
Authors

M. Anand; A. Ashwin Natraj; V. Jeya Maria Jose; K. Subramanian; Priyanka Bhardwaj; R. Pandeeswari et al.

ARI Id

1665247835299_5546083

Access

Not Available Free

Pages

331-342

DOI

10.1007/978-981-15-4018-9_30

Chapter URL

https://rd.springer.com/chapter/10.1007/978-981-15-4018-9_30

Table of Contents of Book
Showing 1 to 20 of 54 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xviii
Front Matter
1-1
Denoising Images with Varying Noises Using Autoencoders
Snigdha Agarwal; Ayushi Agarwal; Maroti Deshmukh
3-14
Image Aesthetics Assessment Using Multi Channel Convolutional Neural Networks
Nishi Doshi; Gitam Shikkenawis; Suman K. Mitra
15-24
Profession Identification Using Handwritten Text Images
Parveen Kumar; Manu Gupta; Mayank Gupta; Ambalika Sharma
25-35
A Study on Deep Learning for Breast Cancer Detection in Histopathological Images
Oinam Vivek Singh; Prakash Choudhary; Khelchandra Thongam
36-48
Face Presentation Attack Detection Using Multi-classifier Fusion of Off-the-Shelf Deep Features
Raghavendra Ramachandra; Jag Mohan Singh; Sushma Venkatesh; Kiran Raja; Christoph Busch
49-61
Vision-Based Malware Detection and Classification Using Lightweight Deep Learning Paradigm
S. Abijah Roseline; G. Hari; S. Geetha; R. Krishnamurthy
62-73
A Deep Neural Network Classifier Based on Belief Theory
Minny George; Praveen Sankaran
74-85
Real-Time Driver Drowsiness Detection Using Deep Learning and Heterogeneous Computing on Embedded System
Shivam Khare; Sandeep Palakkal; T. V. Hari Krishnan; Chanwon Seo; Yehoon Kim; Sojung Yun et al.
86-97
A Comparative Analysis for Various Stroke Prediction Techniques
M. Sheetal Singh; Prakash Choudhary; Khelchandra Thongam
98-106
A Convolutional Fuzzy Min-Max Neural Network for Image Classification
Trupti R. Chavan; Abhijeet V. Nandedkar
107-116
Anomalous Event Detection and Localization Using Stacked Autoencoder
Suprit D. Bansod; Abhijeet V. Nandedkar
117-129
Kernel Variants of Extended Locality Preserving Projection
Pranjal Bhatt; Sujata; Suman K. Mitra
130-142
DNN Based Adaptive Video Streaming Using Combination of Supervised Learning and Reinforcement Learning
Karan Rakesh; Luckraj Shrawan Kumar; Rishabh Mittar; Prasenjit Chakraborty; P. A. Ankush; Sai Krishna Gairuboina
143-154
A Deep Convolutional Neural Network Based Approach to Extract and Apply Photographic Transformations
Mrinmoy Sen; Prasenjit Chakraborty
155-162
Video Based Deception Detection Using Deep Recurrent Convolutional Neural Network
Sushma Venkatesh; Raghavendra Ramachandra; Patrick Bours
163-169
Deep Demosaicing Using ResNet-Bottleneck Architecture
Divakar Verma; Manish Kumar; Srinivas Eregala
170-179
Psychological Stress Detection Using Deep Convolutional Neural Networks
Kaushik Sardeshpande; Vijaya R. Thool
180-189
Video Colorization Using CNNs and Keyframes Extraction: An Application in Saving Bandwidth
Ankur Singh; Anurag Chanani; Harish Karnick
190-198
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 54 entries
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