Computational Intelligence Methods for Super-Resolution in Image Processing Applications
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Published By Springer International Publishing

9783030679200, 9783030679217

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Deep Image Prior and Structural Variation-Based Super-Resolution Network for Fluorescein Fundus Angiography Images

Computational Intelligence Methods for Super-Resolution in Image Processing Applications ◽

10.1007/978-3-030-67921-7_10 ◽

2021 ◽

pp. 191-208

Author(s):

R. Velumani ◽

S. Bama ◽

M. Victor Jose

Keyword(s):

Structural Variation ◽

Super Resolution ◽

Image Prior ◽

Deep Image

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Dual-Tree Complex Wavelet Transform and Deep CNN-Based Super-Resolution for Video Inpainting with Application to Object Removal and Error Concealment

Computational Intelligence Methods for Super-Resolution in Image Processing Applications ◽

10.1007/978-3-030-67921-7_12 ◽

2021 ◽

pp. 231-248

Author(s):

Gajanan Tudavekar ◽

Sanjay R. Patil ◽

Santosh S. Saraf

Keyword(s):

Wavelet Transform ◽

Error Concealment ◽

Super Resolution ◽

Complex Wavelet Transform ◽

Object Removal ◽

Video Inpainting ◽

Deep Cnn ◽

Complex Wavelet

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Analysis of Lossy and Lossless Compression Algorithms for Computed Tomography Medical Images Based on Bat and Simulated Annealing Optimization Techniques

Computational Intelligence Methods for Super-Resolution in Image Processing Applications ◽

10.1007/978-3-030-67921-7_6 ◽

2021 ◽

pp. 99-133

Author(s):

S. N. Kumar ◽

Ajay Kumar Haridhas ◽

A. Lenin Fred ◽

P. Sebastin Varghese

Keyword(s):

Computed Tomography ◽

Simulated Annealing ◽

Medical Images ◽

Lossless Compression ◽

Optimization Techniques ◽

Compression Algorithms

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Image Enhancement Using Nonlocal Prior and Gradient Residual Minimization for Improved Visualization of Deep Underwater Image

Computational Intelligence Methods for Super-Resolution in Image Processing Applications ◽

10.1007/978-3-030-67921-7_14 ◽

2021 ◽

pp. 261-278

Author(s):

Rahul Khoond ◽

Bhawna Goyal ◽

Ayush Dogra

Keyword(s):

Image Enhancement ◽

Underwater Image ◽

Residual Minimization ◽

Nonlocal Prior

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Lightweight Spatial Geometric Models Assisting Shape Description and Retrieval

Computational Intelligence Methods for Super-Resolution in Image Processing Applications ◽

10.1007/978-3-030-67921-7_11 ◽

2021 ◽

pp. 209-230

Author(s):

S. Priyanka ◽

M. S. Sudhakar

Keyword(s):

Shape Description ◽

Geometric Models

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Recognition of Handwritten Nandinagari Palm Leaf Manuscript Text

Computational Intelligence Methods for Super-Resolution in Image Processing Applications ◽

10.1007/978-3-030-67921-7_9 ◽

2021 ◽

pp. 177-190

Author(s):

Prathima Guruprasad ◽

Guruprasad K. S. Rao

Keyword(s):

Manuscript Text ◽

Palm Leaf

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Pictorial Image Synthesis from Text and Its Super-Resolution Using Generative Adversarial Networks

Computational Intelligence Methods for Super-Resolution in Image Processing Applications ◽

10.1007/978-3-030-67921-7_5 ◽

2021 ◽

pp. 83-98

Author(s):

Khushboo Patel ◽

Parth Shah

Keyword(s):

Super Resolution ◽

Image Synthesis ◽

Generative Adversarial Networks ◽

Adversarial Networks ◽

Pictorial Image

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Introduction to Computational Intelligence and Super-Resolution

Computational Intelligence Methods for Super-Resolution in Image Processing Applications ◽

10.1007/978-3-030-67921-7_1 ◽

2021 ◽

pp. 3-23

Author(s):

Anand Deshpande ◽

Navid Razmjooy ◽

Vania V. Estrela

Keyword(s):

Computational Intelligence ◽

Super Resolution

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Super-Resolution with Deep Learning Techniques: A Review

Computational Intelligence Methods for Super-Resolution in Image Processing Applications ◽

10.1007/978-3-030-67921-7_3 ◽

2021 ◽

pp. 43-59

Author(s):

Aarti ◽

Amit Kumar

Keyword(s):

Deep Learning ◽

Super Resolution ◽

Learning Techniques

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Lossy Compression of Noisy Images Using Autoencoders for Computer Vision Applications

Computational Intelligence Methods for Super-Resolution in Image Processing Applications ◽

10.1007/978-3-030-67921-7_8 ◽

2021 ◽

pp. 155-176

Author(s):

Dorsaf Sebai ◽

Faouzi Ghorbel

Keyword(s):

Computer Vision ◽

Lossy Compression ◽

Noisy Images ◽

Computer Vision Applications

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Computational Intelligence Methods for Super-Resolution in Image Processing ApplicationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Deep Image Prior and Structural Variation-Based Super-Resolution Network for Fluorescein Fundus Angiography Images

Dual-Tree Complex Wavelet Transform and Deep CNN-Based Super-Resolution for Video Inpainting with Application to Object Removal and Error Concealment

Analysis of Lossy and Lossless Compression Algorithms for Computed Tomography Medical Images Based on Bat and Simulated Annealing Optimization Techniques

Image Enhancement Using Nonlocal Prior and Gradient Residual Minimization for Improved Visualization of Deep Underwater Image

Lightweight Spatial Geometric Models Assisting Shape Description and Retrieval

Recognition of Handwritten Nandinagari Palm Leaf Manuscript Text

Pictorial Image Synthesis from Text and Its Super-Resolution Using Generative Adversarial Networks

Introduction to Computational Intelligence and Super-Resolution

Super-Resolution with Deep Learning Techniques: A Review

Lossy Compression of Noisy Images Using Autoencoders for Computer Vision Applications

Computational Intelligence Methods for Super-Resolution in Image Processing Applications
Latest Publications