Region-based Bicubic Image Interpolation Algorithm

Abstract

Bicubic interpolation is an effective way to get well-qualified high-resolution image,but with high calculation load.The common used interpolation methods are discussed.A new region-based bicubic interpolation is proposed.Without segmenting the image,the mean value of the four neighboring points of the interpolated point is calculated which is used to divide the image into two regions: the flat region and the complex region with more details.Two different interpolating algorithms are chosen for each region.Experimental results show that the proposed algorithm can keep the image quality equal to the original algorithm while reducing the calculation load more than 10 percents.It is useful for applications.