Multi-frame Image Super-Resolution by Interpolation and Iterative Backward Projection

Image Super-Resolution is the well-known technique of improving the quality of images by sharpening the resolution of images. Multi- frame Super- Resolution is procedure of developing an image with high resolution by combining a series of poor resolution images of the look-alike scene. Here, an Improved Super- Resolution technique is implemented using interpolation and iterative backward projection (IBP) registration algorithm. Initially, bilinear interpolation is carried out for a sequence of four images with poor resolution. These resultant images are then registered using Iterative Backward Projection algorithm to yield a high-resolution image. This Improved Super- resolution reconstruction algorithm is simulated on MATLAB and compared with Interpolation Reconstruction algorithm. Improved Super Resolution technique proves to be excellent than Interpolation Reconstruction techniques by means of visuality, Meanₛquareₑrror (MSE), Peak-Signal to Noise ratio (PSNR).