Title : 
Fuzzy-rule-embedded reduction image construction method for image enlargement with high magnification
         
        
            Author : 
Hakaru Tamukoh;Noriaki Suetake;Hideaki Kawano;Ryosuke Kubota;Byungki Cha;Takashi Aso
         
        
            Author_Institution : 
Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Japan
         
        
        
        
        
        
            Abstract : 
This paper proposes a fuzzy-rule-embedded reduction image construction method for image enlargement. A fuzzy rule is generated by considering distribution of pixel value around a target pixel. The generated rule is embedded into the target pixel in a reduction image. The embedded fuzzy rule is used in a fuzzy inference to generate a highly magnified image from the reduction image. Experimental results, which scale factors are three and four, show that the proposed method realizes high-quality image enlargement in terms of both objective and subjective evaluations in comparison with conventional methods.
         
        
            Keywords : 
"Interpolation","Fuzzy logic","Measurement uncertainty","Image edge detection","Image color analysis","Image resolution","TV"
         
        
        
            Conference_Titel : 
Computer Vision Theory and Applications (VISAPP), 2014 International Conference on