Title :
Enhancement of poor resolution text images in the weighted Sobolev space
Author_Institution :
Dept. of Radio Control & Telecommun., Ryazan State Radio Eng. Univ., Ryazan, Russia
Abstract :
The method of poor resolution text images enhancement using a lowpass signal filtering algorithm in the weighted Sobolev space is presented and it is shown that filtration in the weighted Sobolev space results in highpass correction similar to unsharp masking. The criteria which can be used to choose weight in machine enhancement systems is defined. The proposed filtration method allows to improve poor resolution text image visual quality comparing to similar algorithms in L2-space.
Keywords :
filtering theory; image enhancement; image resolution; image texture; low-pass filters; L2-space; lowpass signal filtering algorithm; machine enhancement systems; poor resolution text image enhancement; text image visual quality; weighted Sobolev space; Aerospace electronics; Filtering; Filtration; Image enhancement; Image resolution; Signal processing algorithms; Signal resolution; Weighted Sobolev space; digital image processing; digital signal processing;
Conference_Titel :
Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-1-4577-2191-5
