Computer Science ›› 2019, Vol. 46 ›› Issue (4): 254-260.doi: 10.11896/j.issn.1002-137X.2019.04.040

• Graphics ,Image & Pattern Recognition • Previous Articles     Next Articles

Fidelity Index in Image Magnification Based on Hierarchical Feature and Radial Basis Function

LI Chun-jing, HU Jing, TANG Zhi   

  1. School of Mathematical Science,Tongji University,Shanghai 200000,China
  • Received:2018-06-12 Online:2019-04-15 Published:2019-04-23

Abstract: As an important information carrier,image is indispensable in life,and how toretain and acquire the information in the image to the greatest extent has been a big topic for a long time.In recent years,radial basis function (RBF) interpolation has become a new effective method to solve the problem of scattered data interpolation.In the image magnification based on radial basis function,the values of different parameters have a great influence on the magnified ima-ge.The appropriate fidelity index is particularly critical for the image quality evaluation and the study on the parameters.This paper mainly presented the definition of fidelity index for image magnification based on the multilevel feature of image and the radial basis function of the block matrix,which consists of the global distortion index and the edge distortion index.The experimental results show that the definition of fidelity index is effective.Furthermore,the correlations between the parameters of MQ,inverse MQ and the Gauss radial basis functions and the image texture amplification mechanism were studied.

Key words: Block matrix, Edge distortion index, Fidelity index, Global distortion index, Multilevel feature, Radial basis function

CLC Number: 

  • TP751.1
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