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In the real world, there are a variety of applications requiring high resolution (HR) images in remote sensing, medicine, military information acquisition, multimedia, etc. Because of the high cost and physical limitations of the acquisition hardware, the low resolution (LR) images are used frequently. So, super resolution (SR) restoration is an emerged solution permitting to form one or a set of HR images from a sequence of LR images. In this paper, a novel SR restoration algorithm based on wavelet decomposition was proposed and finally has been implemented on OMAP3530 platform, demonstrating the effectiveness of the reconstruction of SR images. Quantitative and qualitative experiments for the introduced method showed great superiority in obtaining high resolution images with high PSNR and much better visual quality.