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SDLDIP 2021 : Special Issue on Sensors and Deep Learning for Digital Image Processing
SDLDIP 2021 : Special Issue on Sensors and Deep Learning for Digital Image Processing

SDLDIP 2021 : Special Issue on Sensors and Deep Learning for Digital Image Processing

Submission Deadline: March 31, 2021




About

Recently, deep learning has triggered a revolution in image processing and computer vision as it allows computational models of multiple layers to learn and represent data by imitating how the brain perceives and understands multimodal information. In recent years, deep learning methods have outperformed conventional machine learning techniques in many application areas including image enhancement, image segmentation, object detection, object recognition, scene understanding, image synthesis, healthcare and visual recognition, among many others. 


Call for Papers

We would like to invite the academic and industrial research community to submit original research as well as review articles to this Special Issue. Topics of interest include:

  • Learning and Adaptive Sensor Fusion
  • Multisensor Data Fusion
  • Emerging Trends in Deep Learning Techniques
  • Intelligent Measurement Systems
  • Analysis of Image Sensor Data
  • Data Augmentation Techniques 
  • Image Classification, Image Clustering, Object Detection, Object Localization, Object Detection, Image Segmentation, Image Compression
  • Interpolation, Denoising, Deblurring, Dehazing, Inpainting and Super-Resolution
  • Deep Learning Architectures for Remote Sensing
  • Image Quality Assessment
  • Deep Learning-Based Biometrics 
  • Human/Machine Smart Interfaces
  • Industrial Applications
  • 3D Point Cloud Measurement and Processing
  • Image Synthesis


Credits and Sources

[1] SDLDIP 2021 : Special Issue on Sensors and Deep Learning for Digital Image Processing


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