Adaptive and Non-adaptive Image Interpolation Techniques

Abstract

Image interpolation is the process of calculating the unknown pixel values from known pixel values. This procedure can be used for enlarging as well as contrasting digital image. Image interpolation techniques are used for various applications such as consumer electronics, medical imaging and digital radiograph. There are various algorithms are available for image scaling. These techniques are mainly divided into two types such as adaptive and non-adaptive image interpolation. These two interpolation techniques are further divided into various types. In this paper, these different adaptive and non-adaptive image interpolation techniques are overviewed and compared on the basis of their performance parameter i.e PSNR (Peak Signal-to-Noise Ratio). From the various interpolation techniques, adaptive edge enhanced technique gives better PSNR of 38.95dB.