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   Image Magnification By Least Squares Surfaces  
   
نویسنده Esmaili Zaini Ali Mohammad ,Barid Loghmani Ghasem ,Latif Ali Mohammad
منبع Iranian Journal Of Numerical Analysis And Optimization - 2017 - دوره : 7 - شماره : 2 - صفحه:1 -14
چکیده    Image magnification is one of the current issues of image processing in which keeping the quality and structure of images is the main concern. in im age magnification, it is necessary to insert information in extra pixels. adding information to an image should be compatible with the image structure with out making artificial blocks. in this research, extra pixels are estimated using the surface of least squares, and all the pixels are reviewed according to the suggested edgeimproving algorithm. the suggested ethod keeps the edges and minimizes the magnified image opacity and the artificial blocks. numer ical results are presented by using psnr and ssim fidelity measures and compared to some other methods. the average psnr of the original image and image zooming is 32.79 which it shows that image zooming is very similar to the original image. experimental results show that the proposed method has a better performance than others and provides good image quality.
کلیدواژه Image Magnification ,Least Squares Surface ,Interpolation.
آدرس Yazd University, Faculty Of Mathematical Sciences, Department Of Applied Mathematics, ایران, Yazd University, Faculty Of Mathematical Sciences, Department Of Applied Mathematics, ایران, Yazd University, Department Of Computer Engineering, ایران
پست الکترونیکی alatif@yazd.ac.ir
 
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