• DocumentCode
    231623
  • Title

    Applications of edge preservation ratio in image processing

  • Author

    Shaode Yu ; Wentao Zhang ; Shibin Wu ; Xiaolong Li ; Yaoqin Xie

  • Author_Institution
    Shenzhen Inst. of Adv. Technol., Shenzhen, China
  • fYear
    2014
  • fDate
    19-23 Oct. 2014
  • Firstpage
    698
  • Lastpage
    702
  • Abstract
    Edge preservation ratio (EPR) is a full-reference metric for objective image quality assessment (IQA). It is under the assumption that key messages to human visual systems are mainly from image structures, and these structures can be extracted by edge detection. EPR measure is twofold: accuracy and robustness, and a color map is synthesized to reveal structure changes before and after image processing. The feasibility and superiority of EPR have been validated via image magnification and noise reduction. Experimental results suggest that: (1) it is challenging to fully recover lost messages by image magnification; (2) high image contrast may be derived from concise and distinct image structures.
  • Keywords
    edge detection; image colour analysis; image denoising; EPR; IQA; color map; edge detection; edge preservation ratio; human visual system; image magnification; image noise reduction; image processing; image quality assessment; image structure; Image edge detection; Image quality; Measurement; Noise; Noise reduction; Visualization; Edge preservation ratio; image processing; image quality assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2014 12th International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4799-2188-1
  • Type

    conf

  • DOI
    10.1109/ICOSP.2014.7015093
  • Filename
    7015093