Design and implementation of interpolation algorithms for image super resolution

During the process of imagery, the factors including the motion between earth and the platform, atmosphere disturbance, out of focus, non-ideal sampling and so on, all can make the images blurred and degraded. Super resolution technology is the signal processing based method which can detect and remove the blur caused by the imaging system as well as recover spatial frequency information. Super resolution imaging processes one or more low resolution images acquired from the same scene to produce a single higher resolution image with more details. Recently, it has been one of the most active research areas to get high-resolution image from a low-resolution image, and for the communication purpose it is necessary to compress the information. In this paper, the various decimation algorithms are designed and implemented which can be used to compress the information which is very helpful for the communication purpose. At the receiver side, the decimated images are interpolated by using different interpolation algorithms to get back the original information. The performance analysis (PSNR and MSE) is calculated to know the error between the input and output images. The system is implemented using Matlab GUI.