IMAGE SUPER RESOLUTION TECHNIQUE BASED ON WAVELET DECOMPOSITION IMPLEMENTED ON BEAGLE BOARD XM

The suggested formula uses bilinear interpolation to enlarge the reduced resolution image by two occasions. Then, the interpolated image continues to be decomposed by DWT into different sub bands. Our prime frequency sub bands acquired by SWT from the input low resolution image are now being incremented in to the DWT decomposed high frequency sub bands to be able to correct the believed coefficients. In parallel, the DWT decomposed low frequency sub band image can also be interpolated individually. Within the real life, there are a number of applications requiring high definition (HR) images in remote sensing, medicine, military information acquisition, multimedia, etc. Due to the expensive and physical limitations from the acquisition hardware, the reduced resolution (LR) images are utilized frequently. So, super resolution (SR) restoration is definitely an emerged solution permitting to create one or some HR images from the sequence of LR images. Quantitative and qualitative experiments for that introduced method demonstrated great brilliance in acquiring high definition images rich in PSNR far better visual quality. Within this paper, a singular SR restoration formula according to wavelet decomposition was suggested and lastly continues to be implemented on OMAP3530 platform, demonstrating the potency of the renovation of SR images