Analyzing Image Filtrations by Enhanced Fuzzy Logic with Multi Quality Inputs

نویسندگان

  • Ramesh Tiwari
  • Renu Dhir
  • Jef Poskanzer
  • Young Sik Choi
  • Yuewei Lin
  • Bin Fang
  • Yuanyan Tang
  • Haixiang Xu
  • Xiaorui Yue
چکیده

In this paper, we describe the Image Filtration through Fuzzy Logics in four different scenarios of Image Input as 3*3,9*9, 17*17 and 25*25 division blocks and iterating fuzzy equation on it for 2 and 8 times at constant amplification factor of 10. The input image selected for analysis is PGM (Portable Gray Map), dividing input images into matrix of m*n blocks. The input image is analyzed for multiple iterations and difference in output is significantly marked for MSE and PSNR. General Terms Image Processing, Noise Reduction and Impulse Noise.

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تاریخ انتشار 2011