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High Performance Algorithm for High Resolution Image

K. Kavin Kumar, S.B. Lavanya, C. Siva Ranjini

Abstract


This paper describes the enhancement of spatial resolution of image using new interpolation technique. Two algorithm with specific performance in working is combined to get high resolution for low resolution images. They are Soft Adaptive interpolation algorithm (SAI) and Single Pass Interpolation algorithm (SPIA). We learn the error pattern in the interpolation process of SAI method and SPIA Method after interpolating downs ampled version of LR image. Then we deviced a mechanism to correct the error pattern.SAI method works better on smooth image which is having less variation in pixels and SPIA works better on detailed image in which variation of pixels is more. So, a hybrid scheme of combining SAI method and SPIA method is proposed for best prediction of high resolution (HR) image. The proposed algorithm produces the best results in different varieties of images in terms of both PSNR measurement and subjective visual quality. By employing dual-tree complex wavelet transform (DTCWT) on a edge directional interpolation, it is possible to recover the high frequency components which provides an image with good visual clarity and thus super resolved high resolution images are obtained. The obtained simulation results comply with the above stated claim.

Keywords


Image Interpolation, Switching, Self-Learned Characteristics, Low Resolution Image, Error Energy

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References


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