An Analysis of Performance for Commonly Used Interpolation Method

摘要

Interpolation is an imaging method that use to expand or reduced the number of pixels in a digital image. Basically, there are many way to perform an interpolation technique but in this research, only some method of interpolation techniques will be focus in order to acquire a high qualityimage after the image is enlarged. In this paper, nearest neighbor interpolation, bilinear interpolation and bicubic interpolation is analyzed based on the image interpolation algorithms principle. The aim is to study the performance of these methods in term of quality image. Furthermore,the paper also provided some explanation for the methods as the concept that applied to calculate pixel value and how the image is magnified. At the end of the research, the performance of all interpolation algorithms is examined by making comparison based on the value of Peak Signal to NoiseRatio (PSNR) and visual inspection.