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                            Library & Multimedia
 SSR2: Sparse Signal Recovery for Single-Image Super-Resolution on Faces With Extreme Low Resolutions
NCJ Number
              254136
Journal

*Pattern Recognition* Volume: 90 Dated: June 2019 Pages: 308-324
Author(s)
          Ramzi Abiantun;
                        Felix Juefei-Xu;
                        Utsav Prabhu;
                        Marios Savvides
Date Published

June 2019
Length
              17 pages
Annotation
              Since automatic face recognition in the wild still suffers from low-quality, low resolution, noisy, and occluded input images that can severely impact identification accuracy, this article presents a novel technique that improves the quality of such low-resolution face images beyond the current state of the art.
Abstract
              The project modeled the correlation between high and low resolution faces in a multi-resolution pyramid and recovered the original structure of an un-seen extreme low-resolution face image. By exploiting domain knowledge of the structure of the input signal and using sparse recovery optimization algorithms, the project recovered a consistent sparse representation of the extreme low-resolution signal. The proposed super-resolution method is robust to noise and face alignment, and it can handle extreme low-resolution faces up to 16x magnification factor with just seven pixels between the eyes. Moreover, the formulation of the proposed algorithm enables simultaneous occlusion removal capability, a desirable property that other super-resolution algorithms do not possess. Most importantly, the project shows that the demonstrated method generalizes on real-world low-quality surveillance images. (publisher abstract modified)
      
  
          Additional Details
Grant Number(s)
        2013-IJ-CX-K005


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)
                                Report (Study/Research)
                                Report (Grant Sponsored)
                                Program/Project Description


  
  
        
  Award
        A Simultaneous Low Resolution and Off-Pose Angle Face Matching Algorithm as an Investigative Lead Generative Tool for Law Enforcement
    
  
  
Date Published: June 1, 2019
    
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