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Author Yecong Wan; Yuanshuo Cheng; Miingwen Shao; Jordi Gonzalez edit  doi
openurl 
  Title Image rain removal and illumination enhancement done in one go Type Journal Article
  Year 2022 Publication Knowledge-Based Systems Abbreviated Journal KBS  
  Volume 252 Issue Pages 109244  
  Keywords  
  Abstract Rain removal plays an important role in the restoration of degraded images. Recently, CNN-based methods have achieved remarkable success. However, these approaches neglect that the appearance of real-world rain is often accompanied by low light conditions, which will further degrade the image quality, thereby hindering the restoration mission. Therefore, it is very indispensable to jointly remove the rain and enhance illumination for real-world rain image restoration. To this end, we proposed a novel spatially-adaptive network, dubbed SANet, which can remove the rain and enhance illumination in one go with the guidance of degradation mask. Meanwhile, to fully utilize negative samples, a contrastive loss is proposed to preserve more natural textures and consistent illumination. In addition, we present a new synthetic dataset, named DarkRain, to boost the development of rain image restoration algorithms in practical scenarios. DarkRain not only contains different degrees of rain, but also considers different lighting conditions, and more realistically simulates real-world rainfall scenarios. SANet is extensively evaluated on the proposed dataset and attains new state-of-the-art performance against other combining methods. Moreover, after a simple transformation, our SANet surpasses existing the state-of-the-art algorithms in both rain removal and low-light image enhancement.  
  Address Sept 2022  
  Corporate Author Thesis  
  Publisher (down) Elsevier Place of Publication Editor  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes ISE; 600.157; 600.168 Approved no  
  Call Number Admin @ si @ WCS2022 Serial 3744  
Permanent link to this record
 

 
Author Maria Vanrell; Jordi Vitria; Xavier Roca edit  openurl
  Title A multidimensional scaling approach to explore the behavior of a texture perception algorithm. Type Journal Article
  Year 1997 Publication Machine Vision and Applications Abbreviated Journal  
  Volume 9 Issue Pages 262–271  
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  Notes OR;ISE;CIC;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ VVR1997 Serial 35  
Permanent link to this record
 

 
Author A. Pujol; Juan J. Villanueva edit  openurl
  Title A supervised Modification of the Hausdorff distance for visual shape classification Type Journal
  Year 2002 Publication International Journal of Pattern Recognition and Artificial Intelligence Abbreviated Journal  
  Volume 16 Issue 3 Pages 349-359  
  Keywords  
  Abstract (IF: 0.359)  
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  Series Editor Series Title Abbreviated Series Title  
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  Notes ISE Approved no  
  Call Number PuV2002 Serial 273  
Permanent link to this record
 

 
Author Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva edit  openurl
  Title A Comparison Framework for Walking Performances using aSpaces Type Journal
  Year 2005 Publication Electronic Letters on Computer Vision and Image Analysis, Special Issue on articulated Motion, 5(3):105–116 (Electronic Letters: IF: 1.016) Abbreviated Journal  
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  Notes ISE Approved no  
  Call Number ISE @ ise @ GVR2005 Serial 623  
Permanent link to this record
 

 
Author V. Kober; Mikhail Mozerov; J. Alvarez-Borrego; I.A. Ovseyevich edit  doi
openurl 
  Title Adaptive Correlation Filters for Pattern Recognition Type Journal
  Year 2006 Publication Pattern Recognition and Image Analysis Abbreviated Journal  
  Volume 16 Issue 3 Pages 425-431  
  Keywords Pattern recognition, Correlation filters, A adaptive filters  
  Abstract Adaptive correlation filters based on synthetic discriminant functions (SDFs) for reliable pattern recognition are proposed. A given value of discrimination capability can be achieved by adapting a SDF filter to the input scene. This can be done by iterative training. Computer simulation results obtained with the proposed filters are compared with those of various correlation filters in terms of recognition performance.  
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  Series Editor Series Title Abbreviated Series Title  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes ISE Approved no  
  Call Number ISE @ ise @ KMA2006a Serial 673  
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