Image Interpolation Techniques in Digital Image Processing: An Overview

In current digital era the image interpolation techniques based on multi-resolution technique are being discovered and developed. These techniques are gaining importance due to their application in variety if field (medical, geographical, space information) where fine and minor details are important. This paper presents an overview of different interpolation techniques, (nearest neighbor, Bilinear, Bicubic, B-spline, Lanczos, Discrete wavelet transform (DWT) and Kriging). Our results show bicubic interpolations gives better results than nearest neighbor and bilinear, whereas DWT and Kriging give finer details