›› 2016, Vol. 29 ›› Issue (6): 146-.

• Articles • Previous Articles     Next Articles

Combining Variation and Shearlet Transform for Image Zooming

WANG Peng,WU Yulian   

  1. (1No13 Room, AVIC Xi'an Aeronautical Engineering Institute of Computing Technology, Xi'an 710065, China; 
    2 Department of Health ,Xi’an Medical College,  Xi’an 710021,China)
  • Online:2016-06-15 Published:2016-06-22

Abstract:

As the Chambolle variational model of image magnification results in the staircase effect. a new algorithm for image zooming based on shearlet smoothness decomposition spaces is proposed. The new algorithm  translates the variational problem that is solved into a sequence based shearlet field through  the  equivalent  relationship between  semi-norm of shearlet-type decomposition spaces and the weighted shearlet  coefficients, solution  of  the  proposed  model  approximately  equals  to  different shearlet shrinkages. Experimental results have verified that the new algorithm can effectively eliminate the staircase effect of zoomed images and keep more details with a higher peak signal to noise ratio.

Key words: image zooming, Shearlet, variational model, decomposition spaces

CLC Number: 

  • TP391.41