Super resolution (SR) image reconstruction is a promising technique of digital imaging which attempts to generate a raster image with a higher resolution than its source. In comparison to various other image enhancement techniques, SR image reconstruction technique not only improves the quality of under-sampled, low-resolution images by increasing their spatial resolution but also attempts to filter out distortions. This work focuses on single-frame SR.The experimental results proved that this proposed method can remove the artifacts subjectively and obtain sharp edges in visual perception. Comparing this algorithm with several other state-of-the-art image SR algorithms shows that this approach performs better in terms of both qualitatively and quantitatively. Although now, digital camera produce high-resolution images, it cannot fulfill the demands of many applications such as as remote sensing, astronomical imaging, medical imaging, and many more. Hence these applications have approached image-processing techniques for a solution to generate good quality HR imagery.