Review: A Literature Survey on Different Image Zooming Techniques
Ritu Dewan, Namisha Modi, Gzs Ptu · 2014
This paper proposes an overview of all the existing interpolation based image zooming techniques.There are various techniques ranging from traditional nearest neighbour, bilinear interpolation, cubic interpolation, spline interpolation to the fuzzy logic basedimage zooming techniques. Every interpolation techniqueshave its own advantages and disadvantages.In this paper, a comparison between various interpolation based image zoomingtechniques based on the PSNR is for various images. Keywords- Interpolation,ImageZooming,Scaling,PSNR,Artifact. I. INTRODUCTION Image zooming is enlargement or magnification of images for better view. It is the process of increasingpixels of an image. When an image is zoomed by an image zooming technique, an enlarged output image is obtained. It is applied in diverse areas ranging from computer graphics, rendering, editing, medical image reconstruction and online image viewing. However while performing various transformations,speed and efficiency needs a balance.There are various interpolation based image zooming methods like simplest nearest neighbour in which the gray level value is calculated from the nearest pixel value, is the fastest of all but the zoomed image is blocky and jagged. The Bilinear and Bicubic interpolation uses the first order and second order combination of original pixels in order to get the new pixels in the zoomed image. In theinterpolation based image zooming techniques, the time complexity increases along with the quality but ringingartifacts introduce blurriness in image. In spline Interpolation fitted spline provides intensity values for the generated pixels and in these edges are not clear and the remaining artifacts are not there. Peak Signal to Noise Ratiois a measure to evaluate the quality of zoomed image.PSNR is a quantitative measure, which is used to compare the quality of an original and zoomed image. There are various artifactslike jaggies, ghosting and blurriness that gets generated when an interpolating technique is applied to the input image.