Abstract
Asymmetrical dual camera systems are becoming more and more popular among many commercial products and they are expected to provide digital zooming images. Existing related algorithms such as super-solution and image fusion fail to reconstruct photo-realistic results because of the sampling rate inconsistency, especially when the focal lengths of cameras vary largely. Nevertheless, magnification factor of super-resolution algorithms are fixed and inflexible as well. By looking into the inherent drawbacks of existing super-resolution algorithm, a new photo-realistic continuous digital zooming algorithm is then proposed in this paper on the basis of a novel super-resolution framework and a band-inpainting algorithm. Experiment result illustrates that proposed algorithm combines the advantages of both super-resolution algorithm and image inpainting algorithm: it reconstructs band information with super-resolution methods, and introduce image inpainting algorithm to reconstruct poorly super-resolved texture areas to produce state-of-the-art photo-realistic digital zooming images.
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