Design of Dyadic-Integer-Coefficients Based Bi-Orthogonal Wavelet Filters for Image Super-Resolution Using Sub-Pixel Image Registration

This paper presents image super-resolution scheme based on subpixel image registration by the design of a specific class of dyadic integer- coefficient based wavelet filters derived from the construction of a half-band polynomial. First, the integer-coefficient based halfband polynomial is designed by the splitting approach. Next, this designed half-band polynomial is factorized and assigned specific number of vanishing moments and ischolar_mains to obtain the dyadic-integer coefficients low-pass analysis and synthesis filters. The possibility of these dyadic-integer coefficients based wavelet filters is explored in the field of image super-resolution using sub-pixel image registration. The two-resolution frames are registered at a specific shift from one another to restore the resolution lost by CCD array of camera. The discrete wavelet transform (DWT) obtained from the designed coefficients is applied on these two low-resolution images to obtain the high resolution image. The developed approach is validated by comparing the quality metrics with existing filter banks.